Mouthpiece-type oral imaging device using lens-less camera and tooth diagnosis and management system using same

The mouthpiece-type intraoral camera with lens-less cameras and an AI-driven dental diagnosis system addresses the challenges of inconsistent image capture and operator skill variability, achieving improved diagnostic accuracy and patient comfort.

WO2025110284A1PCT designated stage expired Publication Date: 2025-05-30AIOBIO CO LTD
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Patent Information

Application Number
PCT/KR2023/018971
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-11-23
Filing Date
2023-11-23
Publication Date
2025-05-30

AI Technical Summary

Technical Problem

Conventional intraoral cameras require skilled operators to capture consistent images of teeth, leading to variability in image quality, increased time and manpower for photography, and potential discomfort for patients due to the thickness and volume of the camera device.

Method used

A mouthpiece-type intraoral camera using lens-less cameras and light sources, combined with a dental diagnosis and management system that employs AI algorithms to track and analyze consecutive images, ensuring consistent image capture and improving diagnostic accuracy and efficiency.

Benefits of technology

The solution enables consistent and accurate image capture of teeth under standardized conditions, reducing unnecessary time and manpower, improving diagnostic precision, and enhancing patient comfort by minimizing the camera's thickness and volume.

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Abstract

The present invention relates to a mouthpiece-type oral imaging device using a lens-less camera, and a tooth diagnosis and management system using same. The mouthpiece-type oral imaging device is configured to obtain front, rear, and occlusal-surface images of each tooth by using a lens-less camera and a mouthpiece in which a light source is installed, and detect diagnosis, management, and prediction information by tracking and analyzing consecutive images according to a time series by using a pretrained AI algorithm, thereby making it possible to improve the precision, reliability, and efficiency of diagnosis, treatment, and management of a tooth. In addition, images under the same conditions (imaging direction, magnification, position, etc.) can be obtained for each tooth regardless of the skill level of a photographer, thereby further increasing the accuracy and efficiency of diagnosis and treatment, and significantly reducing unnecessary time and manpower consumption due to tooth imaging.
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Description

A mouthpiece-type intraoral camera using a lens-less camera and a dental diagnosis and management system using the same

[0001] The present invention relates to a mouthpiece-type intraoral camera using a lens-less camera, and a dental diagnosis and management system using the same, and more particularly, to a mouthpiece-type intraoral camera using a lens-less camera and a light source installed therein, which acquires front, back, and occlusal images of each tooth, and at the same time, tracks and analyzes consecutive images in time series using a pre-learned AI algorithm to detect diagnosis, management, and prediction information, thereby improving the precision, reliability, and efficiency of dental diagnosis, treatment, and management, and further enhancing the accuracy and efficiency of diagnosis and treatment by enabling the acquisition of images under the same conditions (photographing direction, magnification, position, etc.) for each tooth regardless of the skill of the photographer, and significantly reducing unnecessary time and labor consumption due to dental photography.

[0002] Typically, oral diseases, including dental diseases such as cavities, tooth loss, tartar, and dental plaque, and periodontal diseases, are among the most prevalent diseases worldwide. Not only is the pain caused by the disease great, but the prevalence rate is also high, and the longer treatment is delayed, the greater the economic burden, so regular diagnosis and management are necessary.

[0003] Accordingly, if treatment and management are carried out through regular monitoring by treatment institutions such as dental clinics, various oral diseases can be prevented in the early stages.

[0004] In particular, recently, as oral treatment technology and equipment have developed and image analysis and processing technology has advanced exponentially, the method of diagnosing the patient's oral condition and preventing and treating oral diseases by analyzing dental images acquired through an oral camera has become widespread. The images acquired through these oral cameras are not only used to identify and diagnose the condition of teeth and periodontium, but are also used as data to explain the condition of teeth to patients. After creating a database of the condition of teeth and periodontium, it can be used as useful data to check the treatment status before and after treatment or to check the progress of deterioration of the condition of teeth.

[0005] However, since the conventional method involved the photographer (therapist) moving the intraoral camera close to the desired tooth or periodontal area and then taking the picture directly, not only did unnecessary time and manpower increase when taking pictures of the entire tooth, but patient fatigue also increased, and the quality of the acquired tooth image varied depending on the photographer's skill level.

[0006] In particular, for a comprehensive oral diagnosis, detailed photography is required because images of the front, back, and occlusal surfaces (chewing surfaces) of each tooth are needed, which makes the aforementioned problem even more serious.

[0007] To solve these problems, various studies are being conducted on a technology that installs multiple cameras in the mouthpiece to capture multiple teeth with a single shot.

[0008] FIG. 1 is a perspective view showing an oral scanner disclosed in domestic patent registration No. 10-1942641 (Title of invention: Oral scanner in the shape of a mouthpiece).

[0009] The oral scanner (100) of FIG. 1 (hereinafter referred to as the first prior art) is formed in a curved bar shape, and has grooves (111, 112) formed on the upper and lower surfaces, respectively, such that an upper tooth can be inserted into the upper groove (111) and a lower tooth can be inserted into the lower groove (112). It is composed of a body (110), an upper scanner (120) coupled to the upper groove (111) of the body (110) to scan the upper tooth inserted into the upper groove (111), a lower scanner (130) coupled to the lower groove (112) of the body (110) to scan the lower tooth inserted into the lower groove (112), a control unit (140) that receives a signal scanned by the upper scanner (120) or the lower scanner (130) and converts it into data, and a connection unit (15) that transmits the data of the control unit (140) to the outside.

[0010] At this time, the upper scanner (120) and the lower scanner (130) have built-in sensors (101), and the sensors (101) can be applied as CCD sensors or Cmos sensors.

[0011] The prior art (100) configured in this way has the advantage of being manufactured in the shape of a mouthpiece, so that the shape of the patient's oral cavity can be scanned while the patient holds the mouthpiece in his or her mouth without opening his or her mouth, making it easy to confirm the position of the teeth, and thus speeding up the conversion of the shape of the teeth into data.

[0012] However, in the prior art, two sensors (101), a light source, a circuit board, cables, etc. are installed in the partition between the upper groove (111) and the lower groove (112), and in particular, a lens of a certain thickness must be installed in the camera sensor (101) such as a CCD or CMOS, so there is a problem that the thickness and volume of the partition increases.

[0013] In addition, the increase in the thickness and volume of these partitions not only reduces the convenience of use because a gap is formed between the patient's upper and lower teeth when the patient's teeth are inserted, and the patient cannot close their mouth when taking pictures, but also causes the problem of the light source interfering with external noise, resulting in a decrease in the clarity of the acquired image.

[0014] In addition, as in the prior art (100), in order to take pictures in a narrow area such as the upper groove (111) and lower groove (112) of the body (110), a light source of sufficient light must be installed, and this light source has the characteristic of generating a large amount of heat when irradiated with light. However, the prior art (100) does not describe any technology or method for dissipating the heat generated from this light source, so when applied to an actual patient, it has the disadvantage of causing safety accidents such as burns.

[0015] In general, the oral characteristics of a person (tooth size, dental structure, etc.) are different for each individual, but the prior art (100) does not take these tooth characteristics into account at all, so the curvature, size, and shape of the upper groove (111) and the lower groove (112) into which the patient's teeth are inserted are fixed, and therefore, when a patient with different oral characteristics uses it, it not only causes tooth damage but also increases the patient's rejection and anxiety, and in order to solve this problem, if the prior art (100) is newly manufactured according to the patient's oral characteristics, the problem of excessively increasing the manufacturing cost occurs.

[0016] Meanwhile, research on image analysis technology that performs object detection, type recognition, and tracking using deep learning techniques has been actively conducted recently, and the application fields of image analysis technology utilizing deep learning are increasing exponentially due to its advantage of reducing the error rate on its own through learning while increasing the accuracy and precision of the output value.

[0017] Deep learning has shown tremendous potential, especially in the field of computer vision, including classification, object detection, instance segmentation, and image captioning. With the advancement of CPUs, GPUs, and datasets, deep learning-based methodologies are also being actively applied in the medical field.

[0018] FIG. 2 is a schematic diagram showing a remote oral condition monitoring system disclosed in Korean Patent No. 10-2074887 (Title of invention: Remote oral condition monitoring system using image analysis and method thereof).

[0019] The oral condition remote monitoring system (hereinafter referred to as the second prior art) (200) of FIG. 2 is composed of an oral photographing device (210) capable of photographing the inside of the oral cavity, a user terminal (220) that is wirelessly paired with the oral photographing device (210) and transmits an image photographed by the oral photographing device (210), an oral condition management server (230) that stores the image photographed for each subject and the oral condition analysis result data of the subject, and an oral condition judgment device (250) that receives the photographed image from the oral condition management server (230), detects tartar or dental plaque through a pre-learned oral condition judgment algorithm, displays the detected tartar or dental plaque portion on the photographed image, and transmits the analysis result to the user terminal (220).

[0020] The oral condition judgment device (250) inputs a plurality of images of the inside of the oral cavity showing tartar or dental plaque into an oral condition judgment algorithm, and trains the oral condition judgment algorithm to judge whether there is tartar or dental plaque based on the color of the teeth, the location of occurrence, and the size of the occurrence area.

[0021] The second conventional technology (200) configured in this way can accurately determine in real time whether tartar and dental plaque have been properly removed, and at the same time, can prevent oral periodontal disease in advance by diagnosing or monitoring tartar and dental plaque on teeth or gums in the oral cavity, and has the advantage of being able to manage teeth in the long term.

[0022] However, the second conventional technology (200) has a disadvantage in that the oral condition judgment device (250) is configured to judge whether there is tartar or dental plaque based on the color of the teeth, the location of occurrence, and the size of the occurrence area by analyzing only a single image captured in real time, and thus does not take into account any change in the condition of each tooth over time, resulting in a low accuracy and precision of diagnosis.

[0023] In addition, the second conventional technology (200) has a structural limitation that the information provided to the user is limited because the oral condition judgment device (250) analyzes a single captured image to diagnose and provide only the current oral condition to the user, and cannot provide various dental-related information, such as problems with the current dental management of the subject and improvement plans, and prediction of the oral condition of each tooth.

[0024] The present invention is intended to solve such a problem, and the solution of the present invention is to provide a mouthpiece-type oral camera using a lens-less camera, which is capable of obtaining images for each tooth under the same conditions (photographing direction, magnification, position, etc.) regardless of the skill of the photographer by manufacturing the oral camera as a mouthpiece-type in which multiple cameras are installed, thereby further increasing the accuracy and efficiency of diagnosis and treatment, and significantly reducing unnecessary time and manpower consumption due to photographing teeth, and a dental diagnosis and management system using the same.

[0025] The present invention provides a solution for solving the above problem, comprising: a mouthpiece-type intraoral camera including a body inserted into the oral cavity of a subject; lens-less cameras installed at intervals on the body to photograph at least one of the front, back, and occlusal surfaces of all teeth; and light sources installed adjacent to each of the lens-less cameras to irradiate light; a medical terminal, which is a terminal carried by a medical staff, and which has a diagnostic service application installed thereon that digitally filters pattern data transmitted from the mouthpiece-type intraoral camera with a preset wavelength passband and then performs an inverse operation to obtain an image; and an integrated monitoring / diagnosis server that analyzes the images transmitted from the medical staff terminal to detect a diagnostic result including at least one of the condition of each tooth of the subject, whether or not to treat, and the content of the treatment, and then generates diagnostic analysis information including the detected diagnostic result and transmits it to the medical staff terminal, wherein the diagnostic service application installed on the medical staff terminal displays the diagnostic analysis information transmitted from the integrated monitoring / diagnosis server on a monitor.

[0026] In addition, in the present invention, the lens-less cameras include a mask through which light reflected from a photographing surface of a tooth is transmitted; an image sensor through which light passing through the mask is incident; and a controller that integrates patterns projected onto the image sensor to generate pattern data and then transmits the data to the outside, and the body is formed of a plate having a length and is formed into a curved surface so as to face rearward as it goes toward both ends, and is arranged parallel to the photographing surface (front, back, or occlusal surface) of the subject's teeth, and it is preferable that the lens-less cameras make the thickness of the mouthpiece-type oral camera slim by having the mask in the form of a film replace the lens.

[0027] In addition, in the present invention, the diagnostic service application installed in the medical staff terminal preferably includes an image processing unit, and the image processing unit preferably includes a network construction module that confirms whether the mouthpiece-type intraoral camera is connected with the mouthpiece-type intraoral camera via wired or wireless means; a subject setting module that receives identification information of the subject to be photographed from the medical staff (user); a pattern-data input module that receives pattern data transmitted from the mouthpiece-type intraoral camera; a digital filtering module that filters reflection signals outside the wavelength passband of the pattern data input through the pattern-data input module; an inverse operation and image acquisition module that inversely operates on the pattern data filtered by the digital filtering module and converts it into a lens-based image; a matching data generation module that matches subject identification information, medical staff identification information, tooth photographing direction (occlusion-plane, front or back) information, lens-less camera identification information and images to generate matching data; and a control unit that transmits the matching data generated by the matching data generation module to the integrated monitoring / diagnosis server.

[0028] In addition, in the present invention, the integrated monitoring / diagnosis server preferably includes a DB server; a tooth-image generation unit that analyzes, corrects, and merges images included in matching data transmitted from the medical staff terminal to generate a tooth-image, which is an image for each tooth; an AI-based diagnosis analysis unit that analyzes the tooth-images of the corresponding subject generated by the tooth-image generation unit to generate the diagnosis analysis result, and the tooth-image generation unit preferably includes an image alignment module that sequentially aligns images included in the matching data input through the matching data input module according to the teeth with reference to identification information of a lens-less camera; an image merging module that merges the images aligned by the image alignment module; a tooth object recognition module that recognizes each tooth object by analyzing the merged image by the image merging module using a preset object recognition algorithm; an image segmentation module that segments the merged image into images in which each tooth object recognized by the tooth object recognition module appears; and a tooth-image generation module that determines each of the images segmented by the image segmentation module as a tooth-image.

[0029] In addition, in the present invention, it is preferable that the integrated monitoring / diagnosis server further includes a tooth-data generation / update unit that, if the subject is being photographed for the first time, assigns an identification number to a tooth corresponding to a tooth image generated by the tooth-image generation unit, matches at least one or more of the subject identification information, the tooth photographing direction (occlusal, frontal, or back), the tooth identification number, the tooth image, and the photographing date, generates tooth-data, and then stores it in the DB server; and if the subject is not being photographed for the first time, extracts the subject's tooth-data from the DB server, and then matches the identification number to a tooth corresponding to a tooth image generated by the tooth-image generation unit with reference to the tooth identification number of the previous tooth-data, generates tooth-data, and then stores it in the DB server.

[0030] In addition, in the present invention, the DB server preferably stores a category detection algorithm that analyzes the input tooth-image and detects a value (M) for each category (including at least one of caries lesion, crack, fluorosis, tartar, and dental plaque), and the integrated monitoring / diagnosis server preferably further includes a category-specific value calculation unit that analyzes the tooth-images generated by the tooth-image generation unit using the category detection algorithm and calculates a value (M) for each tooth by category, matches the subject identification information with the value (M) for each tooth by category, generates category information for each tooth, and then stores the generated value in the DB server.

[0031] In addition, in the present invention, the DB server preferably stores a first AI algorithm that takes the current value (M) and the previous value (M') of each tooth by category as input data and outputs a diagnosis result including at least one of the tooth condition, treatment status, and treatment content, and the AI-based diagnosis analysis unit includes a tooth-specific category information collection module that collects the tooth-specific category information produced by the category-specific value production unit and the tooth-specific previous category information stored in the DB server; a first AI analysis module that analyzes the tooth-specific category-specific current value (M) and the previous value (M') of each tooth collected by the tooth-specific category information collection module using the first AI algorithm and outputs the diagnosis result; and a diagnosis analysis information generation module that generates diagnosis analysis information including the diagnosis result by utilizing the output data output from the first AI analysis module and then stores the diagnosis analysis information in the DB server.

[0032] In addition, in the present invention, the integrated monitoring / diagnosis server includes an AI-based management analysis unit; It is preferable that the DB server further includes an AI-based predictive analysis unit, and a second AI algorithm is stored which takes the current value (M) and the previous value (M') of each tooth category as input data and outputs a management result including at least one of a management status, a management method, and a management improvement point, and a third AI algorithm is stored which takes the current value (M) and the previous value (M') of each tooth category as input data and outputs a prediction result indicating the state of the teeth after a preset elapsed time when each tooth is not treated, and the AI-based management analysis unit analyzes the current value (M) and the previous value (M') of each tooth category collected by the category information collection module for each tooth using the second AI algorithm to output the management result, and then generates management analysis information including the outputted management result, and the AI-based predictive analysis unit analyzes the current value (M) and the previous value (M') of each tooth category collected by the category information collection module for each tooth using the third AI algorithm to output the prediction result, and then generates predictive analysis information including the outputted prediction result.

[0033] In addition, in the present invention, it is preferable that the mouthpiece-type oral camera is formed on an installation surface, which is a surface of the body facing the photographing surface of the subject's teeth, so that sensor mounting grooves, in which each of the lens-less cameras is installed, are formed at intervals in the longitudinal direction, and a pair of light source mounting grooves are formed at a point adjacent to each sensor mounting groove of the installation surface.

[0034] In addition, in the present invention, the mouthpiece-type oral camera is operated in a fluorescence photography mode, a general photography mode, and a mixed photography mode, and the light sources irradiate blue visible light with a wavelength of 405 nm in the fluorescence photography mode, irradiate white visible light in the general photography mode, and in the mixed photography mode, it is preferable that blue visible light with a wavelength of 405 nm is irradiated from half of the total number of light sources, and white visible light is irradiated from the remaining light sources.

[0035] In addition, when a mouthpiece-type intraoral camera for photographing the occlusal plane of the upper teeth and the occlusal plane of the lower teeth of a subject in the present invention is referred to as an intraoral camera for occlusal plane, it is preferable that the intraoral camera for occlusal plane has a body arranged horizontally so that the upper surface of the body contacts the occlusal plane of the upper teeth of the subject, and the lower surface of the body contacts the occlusal plane of the lower teeth of the subject, and the sensor mounting grooves are formed at intervals in the longitudinal direction on the upper and lower surfaces of the body.

[0036] In addition, in the present invention, the body is formed of a plate material, is coupled by at least one hinge axis, and when hinged, includes at least two sub-bodies forming the body, and the sensor mounting grooves and the light source installation grooves are formed on the upper and lower surfaces of the sub-bodies, and the hinge axis is connected to the facing side walls of adjacent sub-bodies, respectively, and is installed in a vertical state, so that when the sub-bodies are assembled, the body is preferably rotated inward.

[0037] In addition, in the present invention, it is preferable that the sub-bodies are formed in a quantity equal to the quantity of the lens-less cameras in the longitudinal direction, and that a single sensor mounting groove is formed on each of the upper and lower surfaces of the sub-bodies.

[0038] In addition, when the mouthpiece-type intraoral camera for photographing the front of the upper and lower teeth of the subject in the present invention is called a front intraoral camera, the front intraoral camera is preferably formed such that the body is vertically arranged so that the rear surface of the body faces the front surface of the subject's teeth, and the sensor mounting grooves are formed at intervals in the length direction on the rear surface of the body, and are formed in two rows.

[0039] In addition, in the present invention, the body is formed of a plate material, is coupled by at least one hinge axis, and when hinged, includes at least two sub-bodies forming the body, and the sensor mounting grooves and the light source installation grooves are formed on the rear surfaces of the sub-bodies, and the hinge axis is preferably installed in a vertical state while being connected to the opposing side walls of adjacent sub-bodies, so that when the sub-bodies are assembled, the body rotates inward.

[0040] In addition, in the present invention, it is preferable that the sub-bodies are formed in a quantity equal to the quantity of the lens-less cameras in the longitudinal direction, and that a pair of lens-less cameras are installed at intervals in the height direction on the rear surface of each of the sub-bodies.

[0041] In addition, when a mouthpiece-type intraoral camera for photographing the back surface of the upper and lower teeth of a subject in the present invention is referred to as a back oral camera, the back oral camera is preferably formed such that the body is vertically arranged so that the front surface of the body faces the surface of the subject's teeth, and the sensor mounting grooves are formed at intervals in the length direction on the front surface of the body, and are formed in two rows.

[0042] In addition, in the present invention, the body is formed of a plate material, is coupled by at least one hinge axis, and when hinged, includes at least two sub-bodies forming the body, and the sensor mounting grooves and the light source installation grooves are formed on the front of the sub-bodies, and the hinge axis is preferably installed in a vertical state while being connected to the facing side walls of adjacent sub-bodies, so that when the sub-bodies are assembled, the body rotates inward.

[0043] In addition, in the present invention, it is preferable that the sub-bodies are formed in a quantity equal to the quantity of the lens-less cameras in the longitudinal direction, and a pair of lens-less cameras are installed at intervals in the height direction on the front of the sub-bodies.

[0044] According to the present invention having the above-mentioned task and solution, since the oral camera is manufactured as a mouthpiece type in which multiple cameras are installed, it is possible to acquire images for each tooth under the same conditions (photographing direction, magnification, position, etc.) regardless of the skill of the photographer, thereby further increasing the accuracy and efficiency of diagnosis and treatment, and significantly reducing unnecessary time and labor consumption due to photographing teeth.

[0045] In addition, according to the present invention, by replacing the camera of a mouthpiece-type oral camera with a lens-less camera and replacing the conventional physical light filter, the diagnostic service application is configured to perform digital filtering, thereby minimizing and slimming the thickness and volume of the oral camera, thereby minimizing the foreign body sensation and discomfort of the examinee when inserting it into the oral cavity, and effectively preventing tooth damage and strain.

[0046] In addition, according to the present invention, by replacing a conventional physical light filter having a transmittance of approximately 20% with digital filtering, sufficient shooting can be achieved with a small amount of light, and accordingly, the heat generation of the LED can be minimized, effectively preventing safety accidents such as burns, and increasing product reliability and safety.

[0047] In addition, according to the present invention, when the integrated monitoring / diagnosis server receives images of each lens-less camera from the diagnosis service application, it arranges them in order according to the teeth, merges them, recognizes each tooth object, separates the images so that each recognized tooth object appears, generates a tooth image, and analyzes the generated tooth images to detect diagnostic analysis information, thereby increasing the accuracy of dental diagnosis and treatment.

[0048] In addition, according to the present invention, the integrated monitoring / diagnosis server analyzes each tooth image, calculates a numerical value (M) for each preset category, and at the same time, uses the first AI algorithm learned in advance to analyze the current numerical value (M) and previous numerical value (M') for each tooth category, thereby detecting diagnostic analysis information, thereby enabling accurate and detailed diagnosis, and significantly increasing the treatment effect and efficiency.

[0049] FIG. 1 is a perspective view showing an oral scanner disclosed in domestic patent registration No. 10-1942641 (Title of invention: Oral scanner in the shape of a mouthpiece).

[0050] FIG. 2 is a schematic diagram showing a remote oral condition monitoring system disclosed in Korean Patent No. 10-2074887 (Title of invention: Remote oral condition monitoring system using image analysis and method thereof).

[0051] Figure 3 is a schematic diagram showing a dental diagnosis and management system according to one embodiment of the present invention.

[0052] Figure 4 is a conceptual diagram for explaining Figure 3.

[0053] Fig. 5 is a perspective view showing an occlusal-surface oral camera, which is an embodiment of the mouthpiece-type oral camera of Fig. 3.

[0054] Figure 6 is a conceptual diagram for explaining Figure 5.

[0055] Figure 7 (a) is a general photograph of a tooth, and (b) is a photograph taken after irradiating the tooth with blue visible light and filtering out the blue light.

[0056] Figure 8 is a conceptual diagram showing the lens-less camera of Figure 5.

[0057] Fig. 9 (a) is an exemplary diagram for explaining a phase mask-based lens-less imaging method of the present invention, and (b) is an exemplary diagram for explaining a lens-based imaging method.

[0058] Fig. 10 is a perspective view showing a rear-facing oral camera, which is a second embodiment of the mouthpiece-type oral camera of the present invention.

[0059] Fig. 11 is a perspective view showing a front oral camera, which is a third embodiment of the mouthpiece-type oral camera of the present invention.

[0060] Fig. 12 is a perspective view showing a second embodiment of the intraoral camera for occlusal-surface imaging of Fig. 5.

[0061] Fig. 13 is a perspective view showing a second embodiment of the oral cavity camera for the back surface of Fig. 10.

[0062] Fig. 14 is a perspective view showing a second embodiment of the front oral camera of Fig. 11.

[0063] Fig. 15 is a perspective view showing a third embodiment of the intraoral photographing device for occlusal surfaces of Fig. 5.

[0064] Fig. 16 is a perspective view showing a third embodiment of the oral cavity photographing device for the back surface of Fig. 10.

[0065] Fig. 17 is a perspective view showing a third embodiment of the front oral camera of Fig. 11.

[0066] Figure 18 is a block diagram showing the diagnostic service application of Figure 3.

[0067] Figure 19 is an example diagram showing a selection interface provided in the operation-mode selection section of Figure 18.

[0068] Fig. 20 is a block diagram showing the image processing unit of Fig. 17.

[0069] Figure 21 is a block diagram showing the medical staff-mode operation unit of Figure 18.

[0070] Figure 22 is a block diagram showing the integrated monitoring / diagnostic server of Figure 3.

[0071] Fig. 23 is a block diagram showing the tooth-image generation unit of Fig. 22.

[0072] Fig. 24 is a block diagram showing the AI-based diagnostic analysis unit of Fig. 22.

[0073] Figure 25 is a block diagram showing the AI-based management analysis unit of Figure 22.

[0074] Figure 26 is a block diagram showing the AI-based prediction analysis unit of Figure 22.

[0075] Hereinafter, an embodiment of the present invention will be described with reference to the attached drawings.

[0076] FIG. 3 is a configuration diagram showing a dental diagnosis and management system according to one embodiment of the present invention, and FIG. 4 is a conceptual diagram for explaining FIG. 3.

[0077] The dental diagnosis and management system (1) of one embodiment of the present invention of FIGS. 3 and 4 is configured to acquire front, back, and occlusal images for each tooth using a mouthpiece equipped with a lens-less camera and a light source, and at the same time, to track and analyze consecutive images in time series using a pre-learned AI algorithm to detect diagnosis, management, and prediction information, thereby improving the precision, reliability, and efficiency of dental diagnosis, treatment, and management, and also enabling acquisition of images under the same conditions (photographing direction, magnification, location, etc.) for each tooth regardless of the skill of the photographer, thereby further increasing the accuracy and efficiency of diagnosis and treatment, and significantly reducing unnecessary time and manpower consumption due to dental photography.

[0078] In addition, the dental diagnosis and management system (1) of the present invention is composed of an integrated monitoring / analysis server (3), mouthpiece-type oral camera devices (5), a medical staff terminal (7), a user terminal (8), a diagnosis service application (9), and a communication network (10), as shown in FIGS. 3 and 4.

[0079] At this time, for the convenience of explanation, the present invention has been described as an example in which a diagnostic service application (9) obtains an image by performing reverse calculation on pattern data transmitted from a lens-less camera, and an integrated monitoring / analysis server (3) analyzes the obtained images and then generates meaningful information (dental diagnosis, management, prediction, etc.), but the computational processing of image analysis and meaningful information generation may be configured to be performed by the diagnostic service application (9) itself.

[0080] In addition, for the convenience of explanation, the present invention has been described as an example in which the diagnostic service application (9) is installed on the medical staff terminal (7) and the subject terminal (8), respectively, but the medical staff terminal (7) and the subject terminal (8) may be configured to have different dedicated applications installed.

[0081] The communication network (10) provides a data transfer path between the integrated monitoring / diagnosis server (3), medical staff terminal (7), and subject terminal (8), and in detail, may be composed of a wired / wireless network such as a wide area network (WAN), a local area network (LAN), a mobile communication network, 3G, LTE, 4G, etc.

[0082] The medical staff terminal (7) is a digital terminal carried by medical staff (doctors, nurses, therapists, etc.), and the subject terminal (8) is a digital terminal carried by the subject (User). The medical staff terminal (7) and the subject terminal (8) may be configured as a desktop PC, a notebook, a smart phone, a tablet PC, etc.

[0083] In addition, the medical staff terminal (7) and the subject terminal (8) are connected to the mouthpiece-type oral camera (5) via a wired or wireless communication network (20), and receive pattern data acquired through filming by the mouthpiece-type oral camera (5) from the mouthpiece-type oral camera (5).

[0084] In addition, the diagnostic service application (9) of FIG. 18, which will be described later, is installed on the medical staff terminal (7) and the subject terminal (8).

[0085] Fig. 5 is a perspective view showing an occlusal-surface oral camera, which is an embodiment of the mouthpiece-type oral camera of Fig. 3, and Fig. 6 is a conceptual diagram for explaining Fig. 5.

[0086] An example of the mouthpiece-type oral camera (5) of FIGS. 5 and 6 is an occlusal-surface oral camera (51). The occlusal-surface oral camera (51) is inserted into the oral cavity of a subject and, when bitten by the subject's teeth, lens-less cameras (513) arranged in a row along the subject's teeth photograph the upper and lower occlusal-surfaces (chewing surfaces) of each tooth, thereby obtaining pattern data for each occlusal-surface.

[0087] In addition, the oral camera (51) for occlusal plane, as illustrated in FIG. 6, is formed in the shape of a mouthpiece and inserted into the oral cavity of the subject, and has an upper surface (5111) and a lower surface (5113) formed as flat surfaces, and is composed of a body (511) that is pressed by the upper and lower occlusal planes (211) of the subject, lens-less cameras (513) that are installed on the upper surface (5111) and the lower surface (5113) of the body (511) while being spaced apart in the longitudinal direction, light sources (515) that are installed opposite each lens-less camera (513) in the width direction while being spaced apart in the longitudinal direction, and a controller (not shown) that supplies power to the lens-less cameras (513) and the light sources (515) and simultaneously transmits pattern data acquired through shooting by the lens-less cameras (513) to a connected terminal (7 or 8).

[0088] The body (511) is formed in the shape of a mouthpiece, and the upper surface (5111) and the lower surface (5113) are formed flat so that when inserted into the oral cavity of a subject, the occlusal surface (211) of the subject's upper teeth (21) contacts the upper surface (5111), and the occlusal surface of the subject's lower teeth (22) contacts the lower surface (5113).

[0089] At this time, the body (511) is preferably made of a material that is harmless to the human body to minimize the subject's foreign body sensation or discomfort when the subject bites, and at the same time, it is preferably made of a synthetic resin material with high elasticity and flexibility to prevent strain on the teeth.

[0090] Additionally, the body (511) is manufactured in a shape corresponding to the teeth, dentition, and oral cavity of the human body.

[0091] Additionally, sensor mounting grooves (5114) are formed at intervals in the length direction from the upper surface (5111) and lower surface (5113) of the body (511) inward.

[0092] At this time, lens-less cameras (513) are installed in the sensor mounting grooves (5114) of the body (511), so that the lens-less cameras (513) are arranged in a row in the longitudinal direction along the occlusal surfaces of the upper and lower teeth, thereby enabling the upper and lower occlusal surfaces of each tooth to be photographed.

[0093] Additionally, light source installation grooves (5115) are formed symmetrically in the width direction based on the sensor mounting groove (5114) of the body (511).

[0094] At this time, light sources (515) are installed in each of the light source installation homes (5115).

[0095] Additionally, a handle (517) that is held by the hand of a medical professional or a user is formed protrudingly at the front of the body (511).

[0096] In addition, although not shown in the drawing, a heating means and a cooling means may be installed inside the body (511) of the oral photographing device (51) for occlusal-surface use at a point adjacent to the light source installation-home (5115), and at this time, when the controller receives a control signal of the heating means or cooling means of a specific area from an external computing device, the controller operates the heating means or cooling means of the corresponding area, thereby enabling testing the degree of numbness or reaction of a specific tooth of the subject to heat or cold.

[0097] The light sources (515) are installed in the light source installation grooves (5115) formed on the upper surface (5111) and lower surface (5113) of the body (511), respectively, and irradiate LED light toward the occlusal surface of the corresponding teeth, thereby providing lighting necessary for shooting with the lens-less camera (513).

[0098] That is, among the light sources (515), a pair of light sources (515) installed symmetrically in the width direction with respect to the lens-less camera (513) irradiate LEDs toward the occlusal surface of the corresponding tooth.

[0099] Additionally, the light sources (515) irradiate visible light of the blue series, i.e., visible light with a wavelength of 405 nm.

[0100] Meanwhile, the mouthpiece-type oral camera (5) of the present invention is designed to support all of the fluorescence (blue light) shooting mode, the general shooting mode, and the mixed shooting mode, so that when any one of the fluorescence shooting mode, the general shooting mode, and the mixed shooting mode is selected by the photographer, light is irradiated from the light sources (515) according to the selected mode.

[0101] For example, when the fluorescence photography mode is selected by the photographer, the mouthpiece-type oral camera (5) emits blue visible light having a wavelength of 405 nm from light sources (515), and when the general photography mode is selected, white visible light is emitted from the light sources (515).

[0102] Figure 7 (a) is a photograph of a normal tooth, and (b) is a photograph of a tooth after irradiating it with blue visible light and filtering the wavelength range of the blue visible light.

[0103] In general, blue visible light not only does not penetrate teeth, but also fluoresces when reflected. Meanwhile, when teeth lose minerals, their fluorescence appears darker than that of normal teeth. Specifically, caries, cracks, fluorosis, tartar, and dental plaque on the tooth surface appear darker. Phophyrin, which forms biofilm, also exhibits red fluorescence.

[0104] That is, after irradiating blue visible light, if the reflected light of the blue visible light irradiated by an external computing device is digitally filtered, as shown in (a) and (b) of Fig. 4, the porphyrin component that creates a biofilm in the oral cavity is highlighted in red through color contrast, and depending on the difference in brightness of the reflected light, caries lesions, cracks, fluorosis, tartar, and dental plaque on the tooth surface can be easily identified.

[0105] Meanwhile, since the conventional physical light filter has a transmittance of approximately 20%, the amount of light irradiated by the light source becomes unnecessarily high in order to irradiate sufficient light for shooting, and this increase in the amount of light from the light source also increases the amount of heat generated. However, the increase in the amount of heat generated by this mouthpiece-type product can cause safety accidents such as burns, so special care must be taken.

[0106] Accordingly, the mouthpiece-type oral camera (5) of the present invention can take sufficient pictures with a small amount of light by not installing a conventional light filter, thereby reducing the amount of heat generated by the LED, thereby improving the reliability and safety of the product, and minimizing and slimming the thickness and volume of the product itself to increase the wearing comfort of the subject.

[0107] FIG. 8 is a conceptual diagram showing the lens-less camera of FIG. 5, and FIG. 9 (a) is an exemplary diagram for explaining the phase mask-based lens-less imaging method of the present invention, and (b) is an exemplary diagram for explaining the lens-based imaging method.

[0108] The lens-less cameras (513) are installed in the sensor mounting grooves (5114) formed on the upper surface (5111) and lower surface (5113) of the body (511) described above, so that when inserted into the oral cavity, they are installed at intervals in the width direction along the teeth of the subject.

[0109] At this time, the lens-less cameras (513) installed on the upper part of the body (511) each photograph the occlusal surfaces (211) of the subject's upper teeth (21), and the lens-less cameras (513) installed on the lower part of the body (511) each photograph the occlusal surfaces of the subject's lower teeth (22).

[0110] In addition, the lens-less camera (513) is composed of a phase mask (5131) through which light rays irradiated and reflected from light sources (515) are transmitted, as illustrated in FIG. 8, and an image sensor (5133) through which light rays passing through the phase mask (5131) are incident.

[0111] At this time, in the present invention, for the convenience of explanation, the mask of the lens-less camera (513) is described as an example of a phase mask, but the mask of the lens-less camera (513) is not limited thereto, and it is obvious that various types and techniques of masks known in the art, such as an amplitude mask, can be applied.

[0112] That is, the lens-less camera (513) replaces the lens that focuses a point light source and applies a phase mask (5131) that changes the phase of light through a pattern of micro-curves.

[0113] The phase mask (5131) is made of a transparent material that transmits light, such as a transparent film.

[0114] In addition, the phase mask (5131) has a micro-curved pattern of irregular shape, size, height, etc. formed at each location on the outer surface facing the image sensor (515).

[0115] At this time, the phase mask (5131) changes and diffuses the phase by delaying the transmitted light differently at each location in a pattern according to the point spread function (PSF) that represents a unique pattern determined according to the shape structure.

[0116] That is, a point light source passing through the phase mask (5131) is phase-converted and diffused according to the phase-conversion pattern, and is incident on the entire area of ​​the image sensor (5133).

[0117] The image sensor (5133) receives a pattern whose phase has changed by passing through the phase mask (5131).

[0118] At this time, the patterns projected onto the image sensor (5133) are integrated and named pattern data.

[0119] In addition, the pattern data acquired by the image sensor (5133) is transmitted to the medical staff terminal (7) or the subject terminal (8) under the control of the controller (not shown), and the diagnostic service application (9) installed in the terminal, upon receiving the pattern data, digitally filters the received pattern data and then performs an inverse operation to acquire an image.

[0120] Referring to (b) of FIG. 9, when comparing the lens-less camera (513) of the present invention with a conventional lens camera, as shown in (a) of FIG. 9, when light irradiated from a light source (515) and reflected on teeth passes through a phase mask (5131), the phase of the point light is converted and diffused by the micro-curved pattern of the phase mask (5131) and is projected onto an image sensor (5133) spaced apart by a focal distance (f).

[0121] In addition, as shown in (a) of FIG. 9, a conventional lens camera (513) has at least one lens (1011) placed in front of an image sensor (1012), so that a point light source passes through the lens (1011) and then enters the image sensor (1012) in a point form, thereby enabling an image to be acquired.

[0122] In general, for a mouthpiece-type product inserted into the oral cavity of a subject, such as the mouthpiece-type oral camera (5) of the present invention, the most sensitive issue for the subject is whether the mouthpiece-type product feels like a foreign body, comfortable to wear, or uncomfortable when bitten by the teeth. In particular, since the mouthpiece is bitten by the subject's upper and lower teeth, the thicker the area where the upper and lower teeth bite, the greater the foreign body sensation and discomfort for the subject, and the less comfortable the mouthpiece becomes.

[0123] Considering the characteristics of such a mouthpiece-type product, the present invention installs a lens-less camera instead of a conventional lens camera to minimize the overall volume and thickness, thereby minimizing the thickness even when multiple lens-less cameras are installed.

[0124] Meanwhile, conventionally, a light filter that filters light of a specific wavelength was placed at a distance outside a lens camera to implement quantitative light-induced fluorescence (QLF-registered trademark). However, the physical installation of such a light filter not only increases the thickness of the mouthpiece-type product, but also increases the amount of light due to the light transmittance of approximately 20%, thereby increasing the amount of heat generated. Therefore, when applied to a mouthpiece-type product as in the present invention, there is a problem that safety accidents such as burns may occur.

[0125] Accordingly, the present invention replaces the conventional physical optical filter and is configured to perform digital filtering in a diagnostic service application (9), thereby making the mouthpiece-type oral camera (5) slimmer and smaller, while effectively preventing safety accidents.

[0126] Fig. 10 is a perspective view showing a rear-facing oral camera, which is a second embodiment of the mouthpiece-type oral camera of the present invention.

[0127] The back oral camera (52) of FIG. 10 is a second embodiment of the mouthpiece-type oral camera (5) of the present invention, and is a device that, when inserted into the oral cavity of a subject and bitten by the subject's teeth, lens-less cameras (523) arranged in a row along the subject's teeth take pictures of the back surface of each tooth, thereby obtaining pattern data for the back surface of each tooth.

[0128] In addition, the rear oral camera (52) is formed of a plate having a length as shown in FIG. 10, and is installed perpendicular to the oral insertion direction, but is formed to be rounded so as to face rearward as it goes toward both ends from the middle point in the length direction, a mounting part (522) that is formed to protrude at the middle point in the height direction of the front surface (5211) of the second body (521) and extends along the length, lens-less cameras (523) that are installed at intervals in the height direction on the front surface (5211) of the second body (522) and are installed at intervals in the length direction, and light sources (525) that are installed to face each lens-less camera (523) in the height direction, and power is supplied to the lens-less cameras (523) and the light sources (525) and at the same time, pattern data obtained through shooting by the lens-less cameras (523) is transmitted to the connected terminal (7 or 8). It consists of a controller (not shown).

[0129] The second body (521) is formed of a plate having a length, is arranged in a direction perpendicular to the oral insertion direction, and is formed to be rounded so that it faces rearward as it goes from the middle point in the length direction toward both ends.

[0130] At this time, it is preferable that the second body (521) be manufactured in a shape corresponding to the shape of the subject's teeth.

[0131] In addition, when the second body (521) is inserted into the oral cavity of the subject, the front side is positioned at a predetermined distance from the back surface of the subject's teeth, so that the lens-less cameras (523) installed on the front side of the second body (521) can capture the back surface of each tooth of the subject.

[0132] Additionally, at the midpoint in the height direction of the front surface (5211) of the second body (521), a mounting portion (522) protruding outward from the front surface (5211) is formed to extend in the length direction.

[0133] Additionally, on the front surface (5211) of the second body (521), second sensor mounting grooves (5214) are formed facing each other in the height direction, but are formed at intervals in the length direction, and lens-less cameras (523) are installed in each of the second sensor mounting grooves (5214).

[0134] Additionally, light source installation grooves (5215) in which light sources (525) are installed are formed on the upper and lower portions of each second sensor mounting groove (5214) on the front (5211) of the second body (521).

[0135] Additionally, a handle (527) that is held by the hand of a medical professional or a user is formed protrudingly on the front surface of the second body (521).

[0136] Additionally, a guide protrusion (528) is formed protrudingly on the upper surface adjacent to the second body (521) of the handle (527) to guide the reference position by contacting the upper front teeth of the subject.

[0137] The rear oral camera (52) configured in this manner is configured so that, when inserted into the oral cavity of a subject, the second body (521) is positioned at a predetermined distance behind the teeth, and lens-less cameras (523) are installed at intervals in the length and height directions on the front of the second body (521), so that through the shooting of each lens-less camera (523), the rear surface of each tooth (including upper and lower teeth) of the subject can be captured, thereby obtaining pattern data, and thus detailed analysis, diagnosis, and treatment of the rear surface of the subject's teeth are possible.

[0138] Fig. 11 is a perspective view showing a front oral camera, which is a third embodiment of the mouthpiece-type oral camera of the present invention.

[0139] The rear oral camera (53) of FIG. 11 is a third embodiment of the mouthpiece-type oral camera (5) of the present invention, and is a device that, when inserted into the oral cavity of a subject and bitten by the subject's teeth, lens-less cameras (533) arranged in a row along the subject's teeth photograph the front of each tooth, thereby obtaining pattern data for the front of each tooth.

[0140] In addition, the front oral camera (53) is formed of a plate having a length as shown in FIG. 11, and is installed perpendicular to the oral insertion direction, but is formed to be rounded so as to face rearward as it goes toward both ends from the middle point in the length direction, a third mounting portion (532) that is formed to protrude at the middle point in the height direction of the rear surface (5311) of the second body (531) and extends along the length so that the upper and lower teeth of the subject bite, lens-less cameras (533) that are installed at intervals in the height direction on the rear surface (5311) of the third body (531) but are installed at intervals in the length direction, and light sources (535) that are installed to face each lens-less camera (533) in the height direction, and light sources (535) that supply power to the lens-less cameras (533) and the light sources (535) and at the same time connect the pattern data obtained through the shooting of the lens-less cameras (533). It consists of a controller (not shown) that transmits to a terminal (7 or 8).

[0141] The third body (531) is formed of a plate having a length, is arranged in a direction perpendicular to the oral insertion direction, and is formed to be rounded so that it faces rearward as it goes from the middle point in the length direction toward both ends.

[0142] At this time, it is preferable that the third body (531) be manufactured in a shape corresponding to the shape of the subject's teeth.

[0143] In addition, when the third body (531) is inserted into the oral cavity of the subject, the rear side (5311) is positioned at a predetermined distance from the front side of the subject's teeth, so that the lens-less cameras (533) installed on the rear side of the third body (531) can capture the front side of each tooth of the subject.

[0144] Additionally, at the midpoint in the height direction of the rear surface (5311) of the third body (531), a third mounting portion (532) protruding outward from the rear surface (5311) is formed to extend in the longitudinal direction.

[0145] At this time, when the third body (531) is inserted into the subject's oral cavity, the upper and lower surfaces of the third fixing portion (532) come into contact with the subject's upper and lower teeth.

[0146] Additionally, on the rear surface (5311) of the third body (531), third sensor mounting grooves (5314) are formed facing each other in the height direction, but are formed at intervals in the length direction, and lens-less cameras (533) are installed in each of the third sensor mounting grooves (5314).

[0147] Additionally, light source installation grooves (5315) in which light sources (535) are installed are formed on the upper and lower portions of each third sensor mounting groove (5314) on the rear surface (5311) of the third body (531).

[0148] Additionally, a handle (537) that is held by the hand of a medical professional or a user is formed protrudingly on the front surface of the third body (521).

[0149] The front oral camera (53) configured in this way is configured so that, when inserted into the oral cavity of the subject, the third body (531) is positioned at a predetermined distance in front of the subject's teeth, and lens-less cameras (533) are installed at intervals in the length and height directions on the back of the third body (531), so that through the shooting of each lens-less camera (533), the front of each tooth of the subject (including the upper teeth and lower teeth) can be captured to obtain pattern data, thereby enabling detailed analysis, diagnosis, and treatment of the back surface of the subject's teeth.

[0150] Fig. 12 is a perspective view showing a second embodiment of the intraoral camera for occlusal-surface imaging of Fig. 5.

[0151] The second occlusal-plane oral camera (54) of FIG. 12 is a second embodiment of the occlusal-plane oral camera (52) of FIG. 5 described above, and considering that oral characteristics such as the number of teeth, shape of the teeth, and oral structure are different for each human body, the sub-bodies (541-1), ..., (541-N) are configured to be hinge-joined (549), so that the sub-bodies can rotate in response to the various oral characteristics of the subject, thereby enabling linkage and application to various oral characteristics.

[0152] In addition, the second occlusal-surface oral camera (54) is composed of a fourth body (541) in which multiple sub-bodies (541-1), ..., (541-N) are joined by hinges (549) to form a mouthpiece shape, as illustrated in FIG. 12, lens-less cameras (543) installed on the upper and rear surfaces of each sub-body (541-1), ..., (541-N), and light sources (545) installed on the front and rear surfaces of each sub-body (541-1), ..., (541-N).

[0153] The sub-bodies (541), ..., (541-N) are formed of a flat plate, and the adjacent sub-bodies and sides are hinged (549) to be assembled into a mouthpiece shape, so that each sub-body (541), ..., (541-N) can rotate in response to the oral characteristics of the subject (number of teeth, shape of teeth, oral structure, etc.), thereby improving the foreign body sensation and discomfort of the subject and effectively preventing damage to the subject's teeth.

[0154] That is, the sub-bodies (541), ..., (541-N) are joined in a joint manner.

[0155] Additionally, fourth sensor mounting-grooves (5414) are formed on the front and rear sides of the sub-bodies (541), ..., (541-N), respectively, and light source installation-grooves (5415) are formed on the upper and lower sides of each sensor mounting-groove (5414), respectively.

[0156] Fig. 13 is a perspective view showing a second embodiment of the oral cavity camera for the back surface of Fig. 10.

[0157] The second back oral camera (55) of Fig. 13 is a second embodiment of the back oral camera (51) of Fig. 10 described above.

[0158] In addition, the second rear oral camera (55) is composed of a fifth body (551) formed in the shape of a mouthpiece by connecting a plurality of second sub-bodies (551-1), ..., (551-N) with hinges (559) as illustrated in FIG. 13, lens-less cameras (553) installed at intervals in the height direction on the front of each second sub-body (551-1), ..., (551-N), and light sources (555) installed on the front of each second sub-body (551-1), ..., (551-N).

[0159] The second sub-bodies (551), ..., (551-N) are formed of a flat plate, are vertically arranged when inserted into the oral cavity, and are assembled into a mouthpiece shape by hinge-joining the adjacent sub-bodies and sides (559).

[0160] That is, the second sub-bodies (551), ..., (551-N) are configured so that the sides of adjacent second sub-bodies are hinged (559) and can rotate at a predetermined angle, thereby enabling them to flexibly respond to the oral characteristics of the subject.

[0161] That is, the second sub-bodies (551), ..., (551-N) are joined in a joint manner.

[0162] Additionally, mounting grooves (5514) are formed on the front and rear sides of the second sub-bodies (551), ..., (551-N), respectively, and light source installation grooves (5415) are formed on the upper and lower sides of each sensor mounting groove (5514), respectively.

[0163] Fig. 14 is a perspective view showing a second embodiment of the front oral camera of Fig. 11.

[0164] The second front oral camera (56) of Fig. 14 is a second embodiment of the front oral camera (53) of Fig. 11 described above.

[0165] In addition, the second rear oral camera (56) is composed of a sixth body (561) formed in the shape of a mouthpiece by connecting multiple third sub-bodies (561-1), ..., (561-N) with hinges (569) as illustrated in FIG. 14, lens-less cameras (563) installed at intervals in the height direction on the rear of each third sub-body (561-1), ..., (561-N), and light sources (565) installed on the front of each third sub-body (561-1), ..., (561-N).

[0166] The third sub-bodies (561), ..., (561-N) are formed of flat plates, are vertically positioned when inserted into the oral cavity, and are assembled into a mouthpiece shape by hinge-joining the adjacent sub-bodies and sides (569).

[0167] That is, the third sub-bodies (561), ..., (561-N) are configured so that the sides of adjacent third sub-bodies are hinged (569) and can rotate at a predetermined angle, thereby enabling them to flexibly respond to the oral characteristics of the subject.

[0168] That is, the third sub-bodies (561), ..., (561-N) are joined in a joint manner.

[0169] Additionally, mounting grooves (5614) are formed on the front and rear sides of the third sub-bodies (561), ..., (561-N), respectively, and light source installation grooves (5615) are formed on the upper and lower sides of each sensor mounting groove (5614), respectively.

[0170] Fig. 15 is a perspective view showing a third embodiment of the intraoral camera for occlusal-surface use of Fig. 5, Fig. 16 is a perspective view showing a third embodiment of the intraoral camera for back use of Fig. 10, and Fig. 17 is a perspective view showing a third embodiment of the intraoral camera for front use of Fig. 11.

[0171] The third occlusal-surface oral photographing device (57) of the present invention, as illustrated in FIG. 15, is composed of fourth sub-bodies (571-1), (571-2), (571-3) which are joined by two hinges (579) to form the body (511) of FIG. 5 described above when assembled.

[0172] At this time, the hinge (579) is formed at the rearmost position among the side walls of adjacent sub-bodies, and is positioned perpendicular to the insertion direction of the oral camera, thereby enabling both ends of the fourth body (571) to rotate inward.

[0173] Meanwhile, the third rear oral camera (580) is composed of fifth sub-bodies (581-1), (581-2), (581-3) which are joined by two hinges (589) to form the second body (521) of FIG. 10 described above when assembled, as shown in FIG. 16.

[0174] At this time, the hinge (589) is formed vertically along the side walls of adjacent sub-bodies, thereby enabling both ends of the fifth body (581) to rotate inward.

[0175] Meanwhile, the third front oral camera (590) is composed of sixth sub-bodies (591-1), (591-2), (591-3) which are joined by two hinges (599) to form the third body (531) of FIG. 11 described above when assembled, as shown in FIG. 14.

[0176] At this time, the hinge (599) is formed vertically along the side walls of adjacent sub-bodies, thereby enabling both ends of the sixth body (591) to rotate inward.

[0177] That is, the mouthpiece-type oral camera of the present invention can be configured to be used for occlusal surface, back surface, and front surface depending on the area of ​​teeth to be photographed, and can be configured with sub-bodies that are connected so that the body can rotate by at least one hinge.

[0178] Figure 18 is a block diagram showing the diagnostic service application of Figure 3.

[0179] The diagnostic service application (9) of Fig. 18 is an application, software or application that is installed on a medical staff terminal (7) or a subject terminal (8) and provides dental diagnosis and treatment services to the user by linking with an integrated monitoring / diagnosis server (3).

[0180] In addition, the diagnostic service application (9) is composed of a control unit (90), a data transmission / reception unit (91), a data storage unit (92), an operation-mode selection unit (93), an image processing unit (94), a medical staff-mode operation unit (95), and a subject-mode operation unit (97), as illustrated in FIG. 18.

[0181] The control unit (90) manages and controls the operation of the diagnostic service application (9), and more specifically, manages and controls the operation of the control targets (91), (92), (93), (94), (95), and (97).

[0182] In addition, the control unit (90) executes the operation-mode selection unit (93) when running, and when image processing is selected by the user through the operation-mode selection unit (93), it executes the image processing unit (95), when the medical staff mode is selected, it executes the medical staff mode operation unit (97), and when the subject mode is selected, it executes the subject mode operation unit (99).

[0183] The data transmission / reception unit (91) transmits and receives data with the integrated monitoring / diagnosis server (3) and the mouthpiece-type oral camera (5) through the communication module (not shown) of the terminal (7 or 8).

[0184] In addition, the data transmission / reception unit (91) requests data from the integrated monitoring server (3) and then receives result data responding to the requested data.

[0185] The data storage unit (92) stores data in the memory of the terminal under the control of the control unit (90).

[0186] Figure 19 is an example diagram showing a selection interface provided in the operation-mode selection section of Figure 18.

[0187] The operation mode selection unit (93) of Fig. 19 operates when the diagnostic service application (9) is first executed by the user.

[0188] In addition, the operation-mode selection unit (93) displays a selection interface (710), which is a GUI (Graphic User Interface) for selecting one of image processing, medical staff mode, and subject mode from the user, on the monitor of the terminal (7 or 8), as illustrated in FIG. 19.

[0189] At this time, the selection interface (710) displays a button (711) for selecting image processing, a button (712) for selecting medical staff mode, and a button (713) for selecting subject mode.

[0190] In addition, the operation-mode selection unit (93) executes the image processing unit (95) when the image processing button (711) is touched (clicked) by the user, executes the medical-mode operation unit (97) when the medical-mode button (712) is touched (clicked), and executes the subject-mode operation unit (99) when the subject-mode button (713) is touched (clicked).

[0191] Fig. 20 is a block diagram showing the image processing unit of Fig. 17.

[0192] The image processing unit (95) of Fig. 20 is executed under the control of the control unit (90) when the image processing button (711) is touched (clicked) by the user through the selection interface (710) of Fig. 19 described above.

[0193] In addition, the image processing unit (95) is composed of a network construction module (951), a subject setting module (952), a pattern-data input module (953), a digital filtering module (954), an inverse operation and image acquisition module (955), and a matching data generation module (956), as illustrated in FIG. 20.

[0194] The network construction module (951) checks whether the mouthpiece-type oral camera (5) for taking pictures of the subject's teeth is connected to a wired or wireless communication network (20).

[0195] The subject setting module (952) receives identification information of the subject to be photographed from medical staff.

[0196] The pattern-data input module (953) receives pattern-data transmitted from a mouthpiece-type oral camera (5) through a data transmission / reception unit (92).

[0197] At this time, each pattern data contains lens-less camera identification information.

[0198] The digital filtering module (954) filters out reflection signals outside the wavelength passband of the pattern data input through the pattern-data input module (953).

[0199] Typically, a light filter that filters light of a specific wavelength has been installed outside of a lens camera to implement quantitative light-induced fluorescence (QLF-registered trademark). However, the physical installation of such a light filter increases the thickness of the mouthpiece-type product and, at the same time, increases the amount of light due to the light transmittance of 20%. Therefore, the amount of heat generated also increases in proportion to the increased amount of light. Therefore, when applied to a mouthpiece-type product as in the present invention, there is a problem that safety accidents such as burns may occur.

[0200] The present invention can not only dramatically solve the conventional problems by converting the pattern data acquired by the shooting of the lens-less camera (953) into the color value of the wavelength pass band by the digital filtering module (954) of the diagnostic service application (9), but also, through the quantitative photofluorescence technique, the porphyrin component that creates the biofilm in the oral cavity is displayed in red, and caries lesions, cracks, fluorosis, tartar, dental plaque, etc. on the tooth surface can be easily identified according to the difference in brightness of the reflected light.

[0201] The inverse operation and image acquisition module (955) uses the point spread function (PSF) of the phase mask (5131) to inversely operate the pattern data of the wavelength passband in the digital filtering module (954) and converts it into a lens-based image.

[0202] At this time, the phase mask is formed as a three-dimensional shape structure having different heights at each position according to the phase transformation pattern, and the phase transformation pattern of the phase mask having the three-dimensional shape structure corresponds to a point spread function (PSF) having a two-dimensional pattern.

[0203] Additionally, the inverse operation function applied to the inverse operation and image acquisition module (955) may be preset and stored as a value corresponding to the point spread function (PSF) of the phase mask.

[0204] The matching data generation module (956) uses the identification information of the mouthpiece-type oral camera (5) and the identification information of each lens-less camera (515) to match the subject identification information, medical staff identification information, shooting direction information (occlusion-surface, front or back, etc.), lens-less camera identification information, and images to generate matching data.

[0205] At this time, when matching data is generated in the matching data generation module (956), the control unit (90) controls the data transmission / reception unit (92) so that the generated matching data is transmitted to the integrated monitoring / diagnosis server (3).

[0206] Figure 21 is a block diagram showing the medical staff-mode operation unit of Figure 18.

[0207] The medical staff-mode operation unit (97) of Fig. 21 is executed under the control of the control unit (90) when the medical staff-mode button (712) is touched (clicked) by the user through the selection interface (710) of Fig. 19 described above, authenticates the connected medical staff through login authentication, and performs an operation when authentication is successful.

[0208] In addition, the medical staff-mode operation unit (97) is composed of a GUI display and processing module (971), a list display module (972), an integrated treatment information provision module (973), a diagnosis / management / prediction analysis information provision module (974), a recent image display module (975), and a three-way time series image display module (976), as illustrated in FIG. 21.

[0209] The GUI display and processing module (971) displays the previously produced GUIs on the monitor of the terminal (7 or 8), and when a command is requested from a medical staff (User) through the displayed GUI, it executes a corresponding processor to perform calculation processing, and then provides the GUI with the response data exposed to the medical staff through the corresponding GUI.

[0210] The list display module (972) displays a GUI on the monitor of the terminal (7 or 8) that displays a list of examinees transmitted from the integrated monitoring / diagnosis server (3) at the request of the medical staff.

[0211] When the integrated treatment information provision module (973) receives a request for integrated treatment information for a specific subject from medical staff, it references and utilizes the integrated treatment information for all subjects transmitted from the integrated monitoring / diagnosis server (3), extracts the integrated treatment information for the selected subject, and then displays it on the monitor of the terminal (7 or 8) through the GUI.

[0212] At this time, the integrated treatment information includes the personal information of the subject, diagnosis date and history, treatment date and history, diagnosis analysis information, management analysis information, and predictive analysis information, and the diagnosis analysis information refers to the diagnosis of the current dental condition detected by the integrated monitoring / diagnosis server (3) through AI analysis of the dental image of the subject, the management analysis information refers to the management condition and supplementary points detected by the integrated monitoring / diagnosis server (3) through AI analysis of the dental image of the subject, and the predictive analysis information refers to the predicted future dental condition detected by the integrated monitoring / diagnosis server (3) through AI analysis of the dental image of the subject.

[0213] When the diagnosis / management / prediction analysis information provision module (974) receives a request from medical staff for diagnosis analysis information, management analysis information, or prediction analysis information for a specific subject, it extracts the diagnosis analysis information, management analysis information, or prediction analysis information from the integrated treatment information for the subject, and then displays it on the monitor of the terminal (7 or 8) through the GUI.

[0214] In other words, medical staff can view and recognize the AI ​​analysis results for each subject's dental image through the GUI provided by the diagnosis / management / prediction analysis information provision module (974).

[0215] When the recent image display module (975) receives a request from medical staff for a recent tooth image of a specific examinee, it references and utilizes the tooth-image data of all examinees transmitted from the integrated monitoring / diagnosis server (3), extracts three-directional images of each tooth recently photographed by the selected examinee, and then generates a GUI in which the extracted three-directional images of each tooth are displayed, and displays the generated GUI on the monitor of the terminal (7 or 8).

[0216] When a 3-way time series image display module (976) receives a request for a time series image of a specific tooth from medical staff, it generates a GUI in which images of each direction (front, back, occlusal surface, etc.) of the tooth are displayed in a time series, and then displays the generated GUI on the monitor of the terminal (7 or 8).

[0217] Returning to Fig. 18 again, looking at the subject-mode operating unit (99), the subject-mode operating unit (99) is executed under the control of the control unit (90) when the subject-mode button (713) is touched (clicked) by the user through the selection interface (710) of Fig. 19 described above, authenticates the connected subject through login authentication, and performs an operation when authentication is successful.

[0218] In addition, the subject-mode operation unit (99) includes the GUI display and processing module (971) of FIG. 21 described above, the integrated treatment information provision module (973), the diagnosis / management / prediction analysis information provision module (974), the recent image display module (975), and the three-way time series image display module (976), but only data access for the subject himself is permitted.

[0219] That is, the subject-mode operation unit (99) of the diagnostic service application (9) provides the subject with integrated treatment information, dental images, and diagnosis / management / prediction analysis information, thereby enabling the subject to quickly and accurately view his / her diagnosis and treatment status.

[0220] Figure 22 is a block diagram showing the integrated monitoring / diagnostic server of Figure 3.

[0221] The integrated monitoring / diagnosis server (3) is composed of a control unit (30), a DB server (31), a communication interface unit (32), an application management unit (33), a matching data input unit (34), a tooth-image generation unit (35), a tooth-data generation / update unit (36), a tooth-image preprocessing unit (37), a category-specific numerical value calculation unit (38), an AI-based diagnosis analysis unit (39), an AI-based management analysis unit (40), an AI-based prediction analysis unit (41), an integrated treatment information generation / update unit (42), and a list generation / update unit (43), as illustrated in FIG. 22.

[0222] The control unit (30) is an OS (Operating System) of the integrated monitoring / diagnosis server (3), and manages and controls the operations of the control targets (31), (32), (33), (34), (35), (36), (37), (38), (39), (40), (41), (42), and (43).

[0223] In addition, when the control unit (30) receives matching data from the diagnostic service application (9) through the communication interface unit (32), it stores the received matching data in the DB server (31) and outputs it to the matching data input unit (34).

[0224] In addition, when integrated treatment information is created / updated in the integrated treatment information creation / update unit (42), the control unit (30) stores the created / updated integrated treatment information in the DB server (31).

[0225] In addition, when list information is created / updated in the list creation / update unit (43), the control unit (30) stores the created / updated list information in the DB server (31) and simultaneously transmits it to the connected diagnostic service application (9).

[0226] The DB server (31) stores personal information and login information of registered medical staff and personal information and login information of registered examinees.

[0227] Additionally, matching data received from the diagnostic service application (9) is stored in the DB server (31).

[0228] Additionally, the DB server (31) stores the tooth image generated by the tooth image generation unit (35) and the tooth data generated / updated by the tooth data generation / updation unit (36).

[0229] At this time, tooth-image means an image of a single tooth, and tooth-data means data in which a tooth-image, subject identification information, and tooth identification number are matched.

[0230] Additionally, the DB server (31) stores the numerical value (M) for each tooth by category calculated by the numerical value calculation unit (38).

[0231] At this time, the categories can be composed of caries, cracks, fluorosis, tartar, dental plaque, etc., and the numerical value (M) for each category means a numerical value indicating the degree of the corresponding category.

[0232] Additionally, the DB server (31) stores diagnostic analysis information generated by the AI-based diagnostic analysis unit (39), management analysis information generated by the AI-based management analysis unit (40), and predictive analysis information generated by the AI-based predictive analysis unit (41).

[0233] Additionally, in the DB server (31), integrated treatment information created / updated in the integrated treatment information creation / updation unit (42) and list information created / updated in the list creation / updation unit (43) are stored.

[0234] The communication interface unit (32) transmits and receives data with the diagnostic service application (9).

[0235] The application management unit (33) manages the overall operation of the diagnostic service application (9), such as firmware updates, GUI updates, failures, and errors of the diagnostic service application (9).

[0236] The matching data input unit (34) receives matching data transmitted from the diagnostic service application (9).

[0237] At this time, the matching data includes subject identification information, medical staff identification information, shooting direction information (occlusal-surface, front or back, etc.), lens-less camera identification information, and images.

[0238] Fig. 23 is a block diagram showing the tooth-image generation unit of Fig. 22.

[0239] The tooth-image generation unit (35) of Fig. 23 is a processor for generating a tooth-image, which is an image for each tooth, by analyzing, correcting, and merging images included in the matching data input through the matching data input unit (34).

[0240] At this time, the mouthpiece-type oral camera (5) of FIGS. 5 to 17 described above is equipped with lens-less cameras (513) considering the average number, size, position, spacing, etc. of teeth, but due to the characteristics of the subject's oral cavity, a phenomenon frequently occurs in which a single tooth is divided into adjacent images or two or more teeth are captured in a single image.

[0241] That is, the tooth-image generation unit (35) of the present invention converts images captured by the lens-less camera (513) into tooth-images for each tooth, thereby enabling accurate analysis of tooth diagnosis and treatment.

[0242] In addition, the tooth-image generation unit (35) is composed of an image input module (351), an image alignment module (352), an image merging module (353), a tooth object recognition module (354), an image segmentation module (355), and a tooth-image generation module (356), as illustrated in FIG. 23.

[0243] The image input module (351) receives images included in the matching data input through the matching data input module (34).

[0244] The image alignment module (352) refers to the identification information of the lens-less camera (513) and arranges the images in order according to the teeth.

[0245] The image merging module (353) merges images aligned in the image alignment module (352).

[0246] The tooth object recognition module (354) analyzes the merged image from the image merging module (353) using a preset object recognition algorithm to recognize each tooth object.

[0247] At this time, the technology and method for recognizing a pre-set object from an image are widely known technologies and methods in image analysis, so a detailed description will be omitted.

[0248] The image segmentation module (355) segments the merged image into images in which each of the tooth objects recognized by the tooth object recognition module (354) appears.

[0249] The tooth image generation module (356) determines each of the images segmented by the image segmentation module (355) as a tooth image.

[0250] If the subject is being photographed for the first time, the tooth-data creation / update unit (36) assigns an identification number to the tooth corresponding to the tooth-image created by the tooth-image creation unit (35), and then matches the subject identification information, shooting direction (occlusion-surface, front or back, etc.), tooth identification number and tooth-image, shooting date, etc. to create tooth-data, and then stores it in the DB server (31).

[0251] In addition, if the subject is not being photographed for the first time, the tooth-data generation / update unit (36) extracts the subject's tooth-data from the DB server (31), then, by referencing the tooth identification number of the previous tooth-data, matches the identification number to the tooth corresponding to the tooth image generated by the tooth-image generation unit (35), and then updates the tooth-data by adding the shooting direction (occlusion-surface, front or back, etc.), tooth identification number and tooth-image, shooting date, etc., and stores the updated tooth-data in the DB server (31).

[0252] The tooth-image preprocessing unit (37) preprocesses each tooth-image generated by the tooth-image generation unit (35) so that numerical detection by category can be accurately performed.

[0253] The category-specific numerical value calculation unit (38) analyzes each tooth-image preprocessed in the tooth-image preprocessing unit (37) using a preset category detection algorithm, and calculates a numerical value (M) for each tooth by category.

[0254] At this time, the categories can be composed of caries, cracks, fluorosis, tartar, dental plaque, etc., and the numerical value (M) for each category means a numerical value indicating the degree of the corresponding category.

[0255] For example, when the category is 'tartar', the category-specific numerical value calculation unit (38) can calculate the tartar value (M) which is the degree of tartar on each tooth, and when the category is 'caries lesion', the category-specific numerical value calculation unit (38) can calculate the caries lesion value (M) which is the degree of caries lesion on each tooth.

[0256] In addition, when the category-specific numerical value calculation unit (38) calculates the category-specific numerical value (M) of each tooth, it matches the subject identification information with the category-specific numerical value (M) of each tooth to generate category information for each tooth, and then stores it in the DB server (31).

[0257] Fig. 24 is a block diagram showing the AI-based diagnostic analysis unit of Fig. 22.

[0258] The AI-based diagnostic analysis unit (39) of Fig. 24 uses the first AI algorithm that has been learned to analyze category information (including numerical values ​​(M) by category) for each tooth, and generates diagnostic analysis information that includes the dental condition, treatment status, and treatment content of each tooth.

[0259] In addition, the AI-based diagnostic analysis unit (39) is composed of a category information collection module (391) for each tooth, a first AI analysis module (392), and a diagnostic analysis information generation module (393), as illustrated in FIG. 24.

[0260] The category information collection module (391) for each tooth collects the category information for each tooth calculated by the category-specific numerical calculation unit (38) and the previous category information for each tooth stored in the DB server (31).

[0261] The first AI analysis module (392) uses the learned first AI algorithm to analyze the category information for each tooth collected by the category information collection module (391) for each tooth.

[0262] At this time, the first AI algorithm generates learning data that can learn the correlation between the current value (M) and previous value (M') for each tooth category and the diagnosis result, and performs learning by utilizing the generated learning data to derive an extraction model, which is a set of parameter values ​​for the correlation between the current value (M) and previous value (M') for each tooth category and the diagnosis result.

[0263] In other words, the first AI algorithm is a deep learning algorithm that takes the current value (M) and previous value (M') of each tooth category as input data and outputs diagnostic results such as tooth condition, whether treatment is required, and treatment content.

[0264] The diagnostic analysis information generation module (393) utilizes the output data output from the first AI analysis module (392) to generate diagnostic analysis information including the dental condition of each tooth, whether treatment is required, and treatment details.

[0265] At this time, the diagnostic analysis information generated by the diagnostic analysis information generation module (393) is stored in the DB server (31) and output to the integrated treatment information generation / update unit (42).

[0266] Figure 25 is a block diagram showing the AI-based management analysis unit of Figure 22.

[0267] The AI-based management analysis unit (40) of Fig. 25 uses the second AI algorithm that has been previously learned to analyze the category information of each tooth (including numerical values ​​(M) by category) and generate management analysis information that includes the management status, management method, and management improvement points of each tooth.

[0268] In addition, the AI-based management analysis unit (40) is composed of a category information collection module (401) for each tooth, a second AI analysis module (402), and a management analysis information generation module (403), as illustrated in FIG. 25.

[0269] As described above, the category information collection module (401) for each tooth collects the current value (M) and previous value (M') for each category of each tooth.

[0270] The second AI analysis module (402) uses the learned second AI algorithm to analyze the category information for each tooth collected by the category information collection module (401) for each tooth.

[0271] At this time, the second AI algorithm generates learning data that can learn the correlation between the current value (M) and previous value (M') for each tooth category and the management results (management status, management method, management improvement points, etc.), and performs learning by utilizing the generated learning data to derive an extraction model, which is a set of parameter values ​​for the correlation between the current value (M) and previous value (M') for each tooth category and the management results.

[0272] In other words, the second AI algorithm is a deep learning algorithm that takes the current value (M) and previous value (M') of each tooth category as input data and outputs management results such as management status, management method, and management improvement points.

[0273] The management analysis information generation module (403) utilizes the output data output from the second AI analysis module (402) to generate management analysis information including the management status, management method, and management improvement points of each tooth.

[0274] At this time, the management analysis information generated by the management analysis information generation module (403) is stored in the DB server (31) and output to the integrated treatment information generation / update unit (42).

[0275] Figure 26 is a block diagram showing the AI-based prediction analysis unit of Figure 22.

[0276] The AI-based predictive analysis unit (41) of Fig. 26 uses a pre-learned third AI algorithm to analyze the category information of each tooth (including numerical values ​​(M) for each category) and generates predictive analysis information including the condition of the teeth after a preset elapsed time when each tooth is not treated.

[0277] In addition, the AI-based predictive analysis unit (41) is composed of a category information collection module (411) for each tooth, a third AI analysis module (412), and a predictive analysis information generation module (413), as illustrated in FIG. 26.

[0278] As described above, the category information collection module (411) for each tooth collects the current value (M) and previous value (M') for each category of each tooth.

[0279] The third AI analysis module (412) uses the learned third AI algorithm to analyze the category information for each tooth collected by the category information collection module (411) for each tooth.

[0280] At this time, the third AI algorithm generates learning data that can learn the correlation between the current value (M) and previous value (M') for each tooth category and the predicted result (the condition of the teeth after a preset elapsed time when each tooth is not treated), and performs learning by utilizing the generated learning data to derive an extraction model, which is a set of parameter values ​​for the correlation between the current value (M) and previous value (M') for each tooth category and the predicted result.

[0281] In other words, the third AI algorithm is a deep learning algorithm that takes the current value (M) and previous value (M') of each tooth category as input data and outputs the tooth status after a preset elapsed time when each tooth is not treated.

[0282] The predictive analysis information generation module (413) utilizes the output data output from the third AI analysis module (412) to generate predictive analysis information indicating the condition of the teeth after a preset elapsed time when each tooth is not treated.

[0283] At this time, the management analysis information generated by the predictive analysis information generation module (413) is stored in the DB server (31) and simultaneously output to the integrated treatment information generation / update unit (42).

[0284] The integrated treatment information generation unit (42) matches the subject identification information, the identification number of each tooth, the tooth-image by direction of each tooth, the numerical value (M) by category of each tooth, the diagnosis analysis information, the management analysis information, and the predictive analysis information to generate integrated treatment information if the subject is being diagnosed for the first time.

[0285] In addition, if the subject is not diagnosed for the first time, the integrated treatment information generation unit (42) extracts the previous integrated treatment information of the subject, and then updates the integrated treatment information by adding tooth-images by direction of each tooth, numerical values ​​(M) by category of each tooth, diagnostic analysis information, management analysis information, and predictive analysis information to the extracted integrated treatment information.

[0286] The list creation / update unit (43) creates and updates list information indicating a list of patients for whom photography and diagnosis have been performed.

Claims

1. A mouthpiece-type oral camera including a body inserted into the oral cavity of a subject, lens-less cameras installed at intervals on the body to photograph at least one of the front, back, and occlusal surfaces of all teeth, and light sources installed adjacent to each of the lens-less cameras to irradiate light; A terminal carried by medical staff, wherein a diagnostic service application is installed that digitally filters pattern data transmitted from the mouthpiece-type oral photographing device with a preset wavelength passband and then performs reverse calculation to obtain an image; An integrated monitoring / diagnosis server is included that analyzes images transmitted from the medical staff terminal, detects diagnosis results including at least one of the condition of each tooth of the subject, treatment status, and treatment content, and then generates diagnosis analysis information including the detected diagnosis results and transmits it to the medical staff terminal. The above diagnostic service application installed on the above medical staff terminal A dental diagnosis and management system characterized by displaying diagnosis analysis information transmitted from the above integrated monitoring / diagnosis server on a monitor.

2. In the first paragraph, the lens-less cameras A mask through which light reflected from the photographed surface of the teeth is transmitted; An image sensor into which light passing through the above mask is incident; It includes a controller that integrates patterns projected onto the image sensor to generate pattern data and then transmits it to the outside. The above body It is formed as a plate having a length, and is formed into a curved surface so that it faces backwards as it goes toward both ends, and is placed parallel to the photographed surface (front, back or occlusal surface) of the subject's teeth. The above lens-less cameras A dental diagnosis and management system characterized in that the thickness of the mouthpiece-type oral camera is slimmed down by replacing the lens with the film-type mask.

3. In the second paragraph, the diagnostic service application installed on the medical staff terminal includes an image processing unit, The above image processing unit A network construction module that checks whether the above mouthpiece-type oral camera is connected wirelessly or with a wire; A subject setting module that receives the identification information of the subject to be photographed from medical staff (users); A pattern data input module that receives pattern data transmitted from the above mouthpiece-type oral camera; A digital filtering module that filters out reflection signals outside the wavelength passband of pattern data input through the above pattern-data input module; An inverse operation and image acquisition module that converts the pattern data filtered by the above digital filtering module into a lens-based image by inverse operation; A matching data generation module that generates matching data by matching subject identification information, medical staff identification information, tooth photographing direction (occlusion-plane, front or back) information, lens-less camera identification information and images; A dental diagnosis and management system characterized by including a control unit that transmits matching data generated in the above matching data generation module to the integrated monitoring / diagnosis server.

4. In the third paragraph, the integrated monitoring / diagnostic server DB server; A tooth image generation unit that analyzes, corrects, and merges images included in the matching data transmitted from the above medical staff terminal to generate a tooth image, which is an image for each tooth; It includes an AI-based diagnostic analysis unit that analyzes the tooth images of the subject generated by the tooth image generation unit and generates the diagnostic analysis results. The above tooth-image generating unit An image alignment module that sequentially aligns images included in matching data input through the matching data input module according to teeth order by referring to identification information of a lens-less camera; An image merging module that merges images aligned in the image alignment module; A tooth object recognition module that recognizes each tooth object by analyzing the merged image from the image merging module using a preset object recognition algorithm; An image segmentation module that segments the merged image into images in which each of the tooth objects recognized by the tooth object recognition module appears; A dental diagnosis and management system characterized by including a tooth-image generation module that determines each of the images segmented in the image segmentation module as a tooth-image.

5. In paragraph 4, the integrated monitoring / diagnostic server A dental diagnosis and management system, characterized in that it further includes a tooth data generation / update unit which, if the subject is being photographed for the first time, assigns an identification number to a tooth corresponding to the tooth image generated by the tooth image generation unit, matches at least one of the subject identification information, the tooth photographing direction (occlusion plane, front or back), the tooth identification number, and the tooth image, and the photographing date, generates tooth data, and stores it in the DB server; and, if the subject is not being photographed for the first time, extracts the subject's tooth data from the DB server, and then matches the identification number to a tooth corresponding to the tooth image generated by the tooth image generation unit with reference to the tooth identification number of the previous tooth data, generates tooth data, and then stores it in the DB server.

6. In paragraph 5, the DB server A category detection algorithm is stored that analyzes the input tooth image and detects a numerical value (M) for each category (including at least one of caries, cracks, fluorosis, calculus, and dental plaque). The above integrated monitoring / diagnostic server A dental diagnosis and management system characterized by further including a category-specific value calculation unit that analyzes the tooth images generated by the tooth image generation unit using the above category detection algorithm, calculates a category-specific value (M) for each tooth, matches the subject identification information with the category-specific values ​​(M) for each tooth, generates category information for each tooth, and then stores the generated category information in the DB server.

7. In paragraph 6, the DB server A first AI algorithm is stored that outputs a diagnosis result including at least one of the following: tooth condition, whether or not to treat, and treatment content, using the current value (M) and previous value (M') of each tooth category as input data. The above AI-based diagnostic analysis unit A tooth-specific category information collection module that collects tooth-specific category information calculated in the above category-specific numerical calculation section and tooth-specific previous category information stored in the DB server; A first AI analysis module that analyzes the current values ​​(M) and previous values ​​(M') of each tooth category collected from the tooth-specific category information collection module using the first AI algorithm and outputs the diagnosis results; A dental diagnosis and management system characterized by including a diagnosis analysis information generation module that generates diagnosis analysis information including the diagnosis result by utilizing output data output from the first AI analysis module, and then stores the same in the DB server.

8. In paragraph 6, the integrated monitoring / diagnostic server AI-based management analytics department; Including AI-based predictive analytics, In the above DB server A second AI algorithm that uses the current value (M) and previous value (M') of each category of teeth as input data and outputs a management result including at least one of a management status, a management method, and a management improvement point, and a third AI algorithm that uses the current value (M) and previous value (M') of each category of teeth as input data and outputs a prediction result indicating the tooth status after a preset elapsed time when each tooth is not treated, is stored. The above AI-based management analysis department Using the second AI algorithm, the current values ​​(M) and previous values ​​(M') of each tooth category collected from the category information collection module for each tooth are analyzed to output the management results, and then management analysis information including the output management results is generated. The above AI-based predictive analysis unit A dental diagnosis and management system characterized in that it analyzes the current values ​​(M) and previous values ​​(M') of each tooth category collected from the category information collection module for each tooth using the third AI algorithm, outputs the prediction results, and then generates prediction analysis information including the output prediction results.

9. In the second paragraph, the mouthpiece-type oral camera On the installation surface, which is a surface of the body facing the photographing surface of the subject's teeth, sensor mounting grooves, each of which is installed with lens-less cameras, are formed at intervals in the longitudinal direction, formed inwardly. A dental diagnosis and management system, characterized in that a pair of light source installation grooves are formed at each sensor mounting groove and adjacent point of the above installation surface.

10. In the 9th paragraph, the mouthpiece type oral camera It operates in fluorescence shooting mode, normal shooting mode and mixed shooting mode. The above light sources A dental diagnosis and management system characterized in that, in the above fluorescence shooting mode, blue visible light with a wavelength of 405 nm is irradiated, in the above general shooting mode, white visible light is irradiated, and in the above mixed shooting mode, blue visible light with a wavelength of 405 nm is irradiated from half of the total number of light sources, while white visible light is irradiated from the remaining light sources.

11. In paragraph 10, when a mouthpiece-type intraoral camera for photographing the occlusal surface of the subject's upper teeth and the occlusal surface of the lower teeth is called an occlusal surface intraoral camera, the occlusal surface intraoral camera is A dental diagnosis and management system, characterized in that the body is arranged horizontally, the upper surface of the body contacts the occlusal surface of the subject's upper teeth, the lower surface of the body contacts the occlusal surface of the subject's lower teeth, and the sensor mounting grooves are formed at intervals in the longitudinal direction on the upper and lower surfaces of the body.

12. In the 11th paragraph, the body A body formed of a plate, joined by at least one hinge axis, comprising at least two sub-bodies that form the body when hinged, The sensor mounting grooves and the light source installation grooves are formed on the upper and lower surfaces of the above sub-bodies, The above hinge axis A dental diagnosis and management system characterized in that the sub-bodies are respectively connected to the opposing side walls of adjacent sub-bodies, are installed in a vertical state, and when the sub-bodies are assembled, the bodies are rotated inward.

13. In the 12th paragraph, the sub-bodies Formed in a quantity equal to the number of the lens-less cameras in the longitudinal direction, A dental diagnosis and management system, characterized in that a single sensor mounting-groove is formed on each of the upper and lower surfaces of the above sub-bodies.

14. In paragraph 10, when a mouthpiece-type intraoral camera for photographing the front of the subject's upper and lower teeth is called a front intraoral camera, the front intraoral camera is A dental diagnosis and management system, characterized in that the body is arranged vertically, the rear surface of the body faces the front surface of the subject's teeth, and the sensor mounting grooves are formed at intervals in the longitudinal direction on the rear surface of the body, and are formed in two rows.

15. In the 14th paragraph, the body A body formed of a plate, joined by at least one hinge axis, comprising at least two sub-bodies that form the body when hinged, On the rear of the above sub-bodies, the sensor mounting-grooves and the light source installation-grooves are formed, The above hinge axis A dental diagnosis and management system characterized in that the opposing side walls of adjacent sub-bodies are respectively connected, but installed in a vertical state, so that when the sub-bodies are assembled, the bodies are rotated inward.

16. In paragraph 15, the sub-bodies Formed in a quantity equal to the number of the lens-less cameras in the longitudinal direction, A dental diagnosis and management system, characterized in that a pair of lens-less cameras are installed at a height-wise interval on the rear of each of the above sub-bodies.

17. In paragraph 10, when a mouthpiece-type intraoral camera for photographing the back surface of the subject's upper and lower teeth is called a back-side intraoral camera, the back-side intraoral camera is A dental diagnosis and management system, characterized in that the body is arranged vertically, the front surface of the body faces the surface of the subject's teeth, and the sensor mounting grooves are formed in two rows at intervals in the length direction on the front surface of the body.

18. In the 17th paragraph, the body A body formed of a plate, joined by at least one hinge axis, comprising at least two sub-bodies that form the body when hinged, On the front of the above sub-bodies, the sensor mounting grooves and the light source installation grooves are formed, The above hinge axis A dental diagnosis and management system characterized in that the opposing side walls of adjacent sub-bodies are respectively connected, but installed in a vertical state, so that when the sub-bodies are assembled, the bodies are rotated inward.

19. In paragraph 18, the sub-bodies Formed in a quantity equal to the number of the lens-less cameras in the longitudinal direction, A dental diagnosis and management system characterized in that a pair of lens-less cameras are installed at a height-wise interval on the front of the above sub-bodies.

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