2719 results about "Oral cavity" patented technology

A water flosser includes a shell and an oral rinse capsule. A capsule accommodating chamber is arranged at a bottom of the shell. A clamping assembly is arranged in the shell. A clamping end of the clamping assembly is threaded out of an inner wall of the capsule accommodating chamber of the shell. The oral rinse capsule is detachably inserted into the capsule accommodating chamber. A clamping slot is provided on a surface of the oral rinse capsule. The clamping end of the clamping assembly is detachably clamped into the clamping slot. By the arrangement of the above structure, the oral rinse capsule is inserted into the capsule accommodating chamber, and the clamping end of the clamping assembly is clamped into the clamping slot, which can effectively fix the oral rinse capsule and make the structure of the product more stable.

The invention relates to the technical field of computers, discloses a tooth three-dimensional precision correction method and system based on multi-source oral data fusion, and aims to solve the problems of low registration precision, serious geometric distortion and lack of function oriented optimization of multi-modal oral data in the prior art. The method comprises the following steps: synchronously obtaining intraoral scanning, CBCT and face three-dimensional point cloud data; carrying out format conversion, denoising and grid simplification preprocessing; tooth surface morphology, root canal anatomy and soft tissue contour features are extracted and coded into uniform feature tensors; and multi-modal data space alignment is realized through staged rigid and non-rigid registration. By means of the scheme, the multi-source data fusion precision and the tooth form restoration accuracy are remarkably improved, full-process automatic efficient processing is achieved, and the clinical real-time performance and high-precision diagnosis and treatment requirements are met.

The invention discloses an oral cavity data monitoring and early warning method and system based on deep learning, and the method comprises the steps: solving a problem that the focus recognition is inaccurate because the image collection process of an oral cavity endoscope of a patient is affected by various environment and equipment parameters; according to the method, synchronous binding of collected images and equipment parameters and intelligent image preprocessing are proposed, historical time sequence images and variation trend features are combined, lesion space and time features are extracted through combination of a lightweight convolutional neural network and a long-short term memory network, feature weighted reasoning is realized by using a context awareness attention fusion network, and the focus space and time features are extracted. According to the method, the model parameters and the risk threshold value can be dynamically adjusted, the focus recognition accuracy and the early warning individuation are improved, and clinical grading treatment and intelligent health management are effectively assisted.

The invention provides a deep learning-based oral cavity image recognition method, a storage medium and a deep learning-based oral cavity image recognition system. The method comprises the steps of deploying a federated learning framework and collecting a multi-modal oral cavity image data set; extracting local features to obtain image features, and generating a modal adaptive weight map; a multi-head self-attention mechanism is used for fusing the cross-modal features to generate a fused feature map, and deconvolution up-sampling is carried out to form high-resolution multi-modal feature representation. A tooth segmentation mask is generated based on this representation, and an initial diagnostic report is generated. And aggregating the attention weight of each client through an encryption protocol, and generating interpretable decision support data. And finally, generating a structured clinical report by using a natural language. According to the method, the Grad-CAM thermodynamic diagram is combined with the encrypted and aggregated attention weight, so that the privacy security is guaranteed, the model interpretability is enhanced, the clinical credibility and the diagnosis decision efficiency are improved, and the problems of insufficient diagnosis precision of complex lesions and insufficient utilization of multi-modal information in the prior art are solved.

The invention discloses an artificial intelligence-based periodontal state evaluation method, which comprises the following steps of: acquiring multi-modal tooth data which comprises a tooth surface image and a local blood vessel network image of an oral cavity; preprocessing the multi-modal tooth data, and performing cross-modal registration by using a registration module to obtain a registered tooth surface image and a registered blood vessel network image; extracting multi-dimensional features of the registered blood vessel network image through a first feature extraction module, wherein the multi-dimensional features comprise spatial morphological features, topological connectivity features and hemodynamic features of blood vessels; extracting macroscopic morphological features and lesion local features of the registered tooth surface image through a second feature extraction module; performing cross-modal fusion on the multi-dimensional features, the macroscopic morphological features, the local lesion features and the clinical data to obtain fusion features; and outputting a periodontal state evaluation result based on the fusion features, thereby facilitating improvement of periodontal state evaluation accuracy and periodontal disease early warning capability.

The invention discloses a precise mark-free positioning system applied to an oral cavity. A camera array composed of a plurality of cameras which are annularly or specifically arranged is arranged on a mobile phone; an infrared imaging assembly for solving the problem of cooling water interference in the operation is designed on at least one camera; the processor is configured to integrate the acquired data including preoperative CBCT (cone beam computed tomography), oral scanning data and digital data of occlusal relationship to construct a complete preoperative oral three-dimensional model; establishing a spatial relationship between a visual system formed by registration of the turbine handpiece and the camera array and a preoperative oral cavity three-dimensional model, and obtaining adaptive relative poses among the parts; after the body position of a patient is fixed during an operation, a complete oral environment point cloud is formed for each frame of input data currently collected by the visual system, and the complete oral environment point cloud is fitted with a patient oral model obtained through oral scanning and CT scanning in advance, so that the oral position of the patient is positioned in real time.

The invention discloses a high-precision and automatic dental crown generation method. The method comprises seven steps of oral cavity three-dimensional data acquisition, full-mouth tooth semantic segmentation, upper and lower jaw point cloud precise registration, abutment and associated gingiva precise segmentation and trimming, abutment surrounding environment multi-tissue segmentation, neck-edge line secondary precise detection, and dental crown generation and multi-dimensional refinement. The method comprises the steps of oral cavity three-dimensional data acquisition, full-mouth tooth semantic segmentation, upper and lower jaw point cloud precise registration, abutment and associated gingiva precise segmentation and trimming, abutment surrounding environment multi-tissue segmentation, neck-edge line secondary precise detection and dental crown generation. Through combination of deep learning and a point cloud algorithm, high-precision segmentation of teeth and gingiva and precise reduction of an occlusion relationship are realized, an oral anatomical feature library and a clinical repair standard are fused, and through multi-dimensional fine adjustment optimization, a dental crown 3D model which is high in fitting degree, harmonious in occlusion and capable of meeting clinical requirements is generated. The method is full-process automatic, greatly improves efficiency, reduces operation threshold, reduces material waste and diagnosis and treatment cost, remarkably improves repair success rate, and is suitable for various oral repair scenes.

The invention belongs to the technical field of three-dimensional point cloud processing, and particularly discloses an automatic tooth segmentation method and system for oral cavity scanning point clouds, and the method comprises the following steps: collecting and preprocessing dentition three-dimensional point clouds, extracting point cloud features containing coordinates and normal directions, and constructing a neighborhood structure; setting a first-stage multi-branch network, and performing tooth and gingiva coarse segmentation and instance initial clustering on the point cloud; setting a second-stage semantic refinement network, and carrying out local cutting on the original point cloud; setting a boundary detection and boundary offset network to enhance a tooth contact area, and refining a boundary instance by clustering to obtain a boundary enhanced instance tag; and performing label fusion, and propagating the fused label to the original high-resolution point cloud through a nearest neighbor algorithm to obtain a final semantic label and a final instance label. By adopting the technical scheme, high-precision instance-level segmentation of the complete dentition point cloud is realized through semantic segmentation, boundary detection and clustering cooperative work based on a biased field.

To provide an image processing apparatus that can more correctly determine a row of teeth having permanent teeth and milk teeth mixed therein.SOLUTION: An image processing apparatus comprises: an acquisition unit that acquires an image of the inside of the oral cavity; an estimation unit that estimates a row of teeth from an image acquired by the acquisition unit by using a learning model that has learned the relationship between the image of the inside of the oral cavity and the row of teeth; and a correction unit that makes a correction on a result of the estimated row of teeth on the basis of a rule related to the order of losing the milk teeth and getting the permanent teeth.SELECTED DRAWING: Figure 4

A comprehensive and sensuous oral cleaner (10A, 10B, 10C, and 10D) is disclosed to automate and modernize all necessary oral hygiene. The cleaner comprises a power driver (12, 12B, 12C, 12D) that can selectively power-drive a replaceable flosser attachment (13, 14, 15, 17), a replaceable synergistic multi-motion toothbrush attachment (29), and an anti-halitosis attachment (81). The driver also power-drives scent from fragrance sources (68, 24) in the attachments for sensuous ambiance while oral cleaning. The toothbrush attachment is detachably connectable to the power driver for imparting plural motions of a long-bristle toothbrush (77). These actions serve for driving long toothbrush bristles to longitudinally penetrate interdentally for power-brushing interdental contours. In the flosser attachment, a floss span is power-driven in plural motions to efficiently remove plaque as the moving span follows, scrubs, and polishes interdental contours between adjacent teeth. Three embodiments of the flosser attachment use warmed power-driven air to dry the used floss for odor-free storage until replacement of the attachment. Alternatively, two of the flosser attachment embodiments feature an antimicrobial (68) that coats the used floss to inhibit microbial activity. The power-driven anti-halitosis attachment drives a multi-bladed tongue scraper (89, 89B) along with pressurized air to neutralize causal anaerobic tongue bacteria.

The invention provides an implant immediate denture precise manufacturing system based on preoperative planning and three-dimensional registration. An example method includes obtaining first oral data, the first oral data including three-dimensional data of a denture model and three-dimensional data of a marker; acquiring second oral cavity data, wherein the second oral cavity data comprises scanning data of a plurality of bases fixed in the oral cavity and a marker; registering the first scanning data and the second scanning data based on the matching of the three-dimensional data of the marker and the scanning data of the marker; a denture model to be processed is generated based on a result of the registration, the denture model to be processed comprising three-dimensional data of the denture model and positioning information of a plurality of holes, each hole being for accommodating one of the plurality of abutment. According to the embodiment of the invention, the accurate positioning of the false tooth model and the abutment is realized by using a digital technology, the accurate matching of the false tooth and the abutment is ensured, and the comfort and experience of a dental implant patient are improved.

The invention relates to the field of oral cavities, and particularly discloses a lasting antibacterial type composite tooth socket for medicine carrying and a preparation method thereof.The lasting antibacterial type composite tooth socket comprises an adsorption layer and an antibacterial membrane layer, the adsorption layer is used for adsorbing oral cavity treatment liquid medicine, and the antibacterial membrane layer comprises a nano-silver antibacterial layer and a chitosan antibacterial layer; the preparation method comprises the following steps: mixing a tea polyphenol-polylactic acid composite solution, a nano-silver-carboxylation modified cellulose compound and a polyvinyl alcohol solution, and carrying out electrostatic spinning to prepare a nano-silver antibacterial fiber membrane, so as to form the nano-silver antibacterial layer; mixing chitosan with hot water, adding cinnamyl aldehyde, glycerol and boric acid, stirring to obtain a mixed solution, coating one side of the nano-silver antibacterial layer with the mixed solution, and curing to form a chitosan antibacterial layer; the adsorption layer is attached to the side, away from the chitosan antibacterial layer, of the nano-silver antibacterial layer, and then the lasting antibacterial type composite tooth socket for carrying the medicine is prepared through hot-pressing compounding. The drug-loaded composite tooth socket has the characteristic of further improving the antibacterial property and the antibacterial durability of the drug-loaded composite tooth socket.

The invention relates to an oral implant positioning method and system based on deep learning. According to the method, three-dimensional point cloud data of an oral cavity is obtained and preprocessed, and a pre-trained three-dimensional deep learning segmentation model is utilized to automatically and accurately segment tooth, gingiva and alveolar bone structures. And based on the segmentation result, extracting key form and spatial relationship characteristics of the alveolar bone, and matching with an implant database to primarily select a candidate scheme. By integrating geometric constraint verification and biomechanical simulation, the candidate schemes are optimized and decided, and the optimal implant implantation position and posture meeting the safety and biomechanical requirements are calculated. And finally, automatically generating digital operation guide plate data completely matched with the gingival form of the patient according to the optimal scheme. According to the method, automation and intellectualization of the whole process from data collection to surgical guide plate generation are achieved, the defects that a traditional method depends on artificial experience, is high in subjectivity and low in efficiency are effectively overcome, and the precision, efficiency and reliability of implantation surgical planning are remarkably improved.

The invention relates to the technical field of three-dimensional analysis, in particular to an oral cavity three-dimensional motion analysis system based on dynamic occlusion scanning. The system comprises an oral cavity occlusion feature extraction module, a dynamic occlusion reconstruction module, an occlusion track smoothing module and an oral cavity motion abnormity identification module, and a multi-view structured light scanner can be used for carrying out image scanning on the oral cavity in the dynamic occlusion process so as to obtain a multi-frame original occlusion image sequence; occlusal feature extraction and three-dimensional occlusal reconstruction are carried out on the multiple frames of original occlusal image sequences to construct corresponding three-dimensional occlusal model sequences; a dynamic occlusion trajectory prediction model is constructed based on the three-dimensional occlusion model sequence, oral cavity three-dimensional motion analysis and occlusion trajectory smoothing filtering processing are carried out, and a smooth three-dimensional occlusion motion trajectory is generated; and performing oral cavity motion abnormity identification according to the smooth three-dimensional occlusion motion track so as to generate an oral cavity occlusion three-dimensional motion abnormity identification result. According to the invention, accurate capture and analysis of three-dimensional motion of the oral cavity can be realized.

The present invention relates to the technical field of dental medical treatment, and specifically discloses a method for using a CBCT (Cone Beam Computer Tomography) for automatically positioning a tooth, which comprises the following steps: S01, archiving CT data; S02, calculating AI and generating AI results; S03, entering CT reading by a client; S04, downloading and loading the CT data; S05, opening a function of a tooth lens; S06, selecting a corresponding tooth position in a tooth position list; and S07, selecting a 3D tooth rendering mode. The function of the ‘tooth lens’ is added into traditional CT reading, which is suitable for clinical disease diagnoses such as ‘tooth extraction, root canal therapy, tooth repair’ and the like in oral treatment, and doctors can precisely and quickly position the single tooth through selection for the tooth position, which facilitates more comprehensive analysis.

The invention discloses a breath anomaly detection method and system based on gas monitoring, and relates to the technical field of breath anomaly detection.The breath anomaly detection method comprises the steps that mouth and nose gas signals in the breath process of a user are collected and preprocessed, and gas component separation is conducted through a microfluidic gas separation module; and performing differential analysis on separated gas components, calculating fluctuation of nasal cavity and oral cavity gas components, performing breathing mode recognition through 1D SNN, and establishing a personalized breathing mode library in combination with long-term health data of a user. Compared with the prior art, the method has the advantages that more accurate breathing mode recognition and anomaly detection are realized by combining differential analysis of multi-dimensional gas components and a deep learning model with a personalized breathing mode library, so that a more intelligent health management scheme is provided, and particularly, the method has remarkable advantages in coping with complex personalized differences and long-term health trends.

The invention relates to the technical field of implant teeth, in particular to a biomedical implant tooth guiding device and method.The biomedical implant tooth guiding device comprises a positioning base plate, the positioning base plate is clamped to the outer side of a gum through a positioning clamping groove, guiding plates are oppositely arranged on the two sides of a tooth implantation point position, and the ends, located on the tongue side, of the two guiding plates are fixedly connected to the positioning base plate; an opening is formed in the positioning base plate on the cheek side at the tooth implantation point, a guide block is arranged between the two guide plates in a sliding and penetrating manner, and one end, on the tongue side, of the guide block is detachably connected with the positioning base plate through a lock catch assembly; the positioning block can be quickly inserted, pulled and replaced, drill rods with different diameters are all provided with brand-new guide holes, the center lines of the drill rods are highly overlapped, and tooth implantation point positions are completely exposed after the drill rods are moved out and are convenient to clean; the spiral diversion trench and the drill rod form a cooling channel matched with a liquid suction channel, so that cooling liquid is rapidly conveyed and cooled, and waste liquid is timely removed; the clamping assembly is arranged to be integrally assembled outside the oral cavity and then fed into the mouth for accurate positioning at a time.

The invention relates to the technical field of oral medical digitization, and discloses a 3D oral point cloud dental arch curve reconstruction method, which comprises the steps of constructing a target feature vector of each key point in each tooth point cloud based on a real three-dimensional coordinate, a curvature and a three-dimensional normal vector of each key point in each tooth point cloud, and training to obtain a target PointTransform model; inputting the 3D oral cavity point cloud to be reconstructed into a target PointTransform model, obtaining three-dimensional coordinates and confidence of each predicted key point in each tooth, screening the predicted key points with the confidence higher than a preset confidence threshold, and associating according to a dental arch sequence to form a dental arch key point set; selecting key mark points from the dental arch key point set, and performing dental arch curve reconstruction based on the key mark points; and performing multi-constraint optimization, local adjustment and segmented mixing on the reconstructed dental arch curve to reconstruct a dental arch curve with higher fitness.

The invention discloses an oral cavity tooth CBCT image segmentation method based on semi-supervised deep learning, and belongs to the technical field of oral diagnosis, and the method comprises the steps: collecting oral cavity CBCT image data, carrying out the preprocessing, and building an oral cavity CBCT image data set containing labels and no labels; a semi-supervised segmentation model is constructed based on a progressive average teacher framework, the semi-supervised segmentation model comprises double groups of teacher-student network structures, and each group comprises two student networks with different structures and a double-teacher network; iterative training is carried out on the semi-supervised segmentation model, the training process comprises a supervised learning stage and a semi-supervised learning stage, and a trained semi-supervised segmentation model is obtained; and taking any oral cavity CBCT image data as input, and performing tooth segmentation based on the trained semi-supervised segmentation model. According to the method, the accuracy of tooth segmentation can be improved, the segmentation effect at the tooth boundary position is enhanced, the tooth segmentation steps are simplified, and the diagnosis efficiency of doctors is improved.

The invention discloses a system and a method for monitoring and analyzing a breathing mode of an individual. The system integrates a first sensing device for a nasal cavity and a second sensing device for an oral cavity through monitoring equipment worn on the head and the face. The core of the method is that synchronous quantitative calculation of mouth and nose breathing flow is achieved for the first time through the schemes of hardware decoupling (parallel ultrasonic measurement of oral geometry and flow velocity) and algorithm decoupling (calculation of nasal cavity flow and area from coupling signals in combination with user calibration). According to the invention, the core biomarker ONFR is obtained, and the problem of ambiguity of oral respiration and apnea in the prior art is solved. The invention further discloses a multi-level precision framework, artifact recognition based on double IMUs and a'digital phenotype 'risk early warning technology based on cloud AI. The invention has important application value in the fields of sleep health, sports physiology and the like.

The invention discloses a digital stable jaw pad designing and manufacturing method, and relates to the technical field of oral rehabilitation and digital medical technology.The digital stable jaw pad manufacturing method comprises the following steps that a, three-dimensional point cloud data of oral dentition and mucosa of a patient is obtained through a three-dimensional scanner; b) determining a stable jaw position coordinate model by using an optical motion capture system; c) designing a jaw pad three-dimensional entity model with an anterior tooth area, a posterior tooth area and an edge structure based on the three-dimensional point cloud data and the stable jaw coordinate model; and d) manufacturing the jaw pad through 3D printing equipment, wherein the 3D printing equipment is formed by adopting a polyether-ether-ketone material. By integrating digital acquisition, design and manufacturing technologies, the pain point of a traditional method is solved, and personalized, high-precision and rapid manufacturing of the stable jaw pad is realized.

The invention provides an auxiliary tooth separation method and system for minimally invasive tooth extraction, and relates to the technical field of digital surgery in stomatology. According to the method, the oral anatomy three-dimensional electronic model is obtained by performing deep learning segmentation and three-dimensional reconstruction on the preoperative CBCT image, and the real-time spatial position and posture of the jaw bone are updated in combination with laser oral scanning of the preoperative anterior tooth area. On the basis, a three-dimensional simulation model is constructed, tooth division cutting path planning, interference judgment and dislocation space analysis are completed, precise tooth division cutting is implemented by a three-way mechanical arm along the planned path, and the safe and controllable automatic tooth extraction and tooth division process is completed in cooperation with water cooling and real-time track correction.

The invention relates to the field of orthodontics, in particular to a device for controlling palatal root movement of anterior teeth of an upper jaw and a manufacturing method. According to the device, the traction arm and the traction ring which extend to the palatal side of the anterior maxillary teeth are additionally arranged on the basis of the transverse palatal bar and are matched with the traction buckle of the anterior maxillary teeth to guide orthodontic force to act below a tooth impedance center, so that root control movement which is difficult to achieve by a traditional orthodontic method is realized, bending torque on an arch wire or placing other root control devices is not needed, and the whole device is simpler and more attractive; in addition, the device part is manufactured by adopting a 3D printing technology, firstly, tooth and intraoral soft tissue data of a patient are obtained by scanning the interior of an oral cavity, then the oral scanning data are matched with CBCT, a specific device is designed by using software, finally, a finished product is directly printed in a 3D manner, the transverse palatal bar and the traction buckle are completely matched with the tooth surface by adopting the 3D printing technology, and the comfort level is high.

The invention relates to a mechanical evaluation system based on rotation and inclination of a bracket-free appliance, and belongs to the technical field of orthodontic equipment. The system comprises four core units: an integral dental arch constraint unit simulates oral temperature through a constant-temperature water bath assembly, adjusts model postures through a camera holder type adjustable dental arch base, and constructs a precise constraint environment; the clinical displacement driving unit is based on an anchorage center bearing lever structure, and positioning-driving-data synchronization is achieved through adjustable anchorage positioning, multi-direction servo driving and displacement closed-loop calibration. The single-tooth mechanical sensing unit collects dynamic mechanical data, and interference is removed through Kalman filtering; and the data processing unit corrects attenuation deviation by using multiple linear regression in combination with environmental parameters, generates a mechanical attenuation curve, calculates a time attenuation percentage, and outputs a mechanical evaluation report by comparing with a clinical suitable force application interval. The evaluation accuracy and clinical suitability of the method provide a scientific basis for the optimization of an orthodontic scheme.

The present application relates to the field of health recovery training equipment, and particularly relates to a kind of oral cavity maxillofacial temporomandibular joint rehabilitation training instrument.The present application relates to a kind of oral cavity maxillofacial temporomandibular joint rehabilitation training instrument, mainly through fixed block, connecting belt, mounting block and upper dental brace to be set and fixed on the head of human body, rely on control motor to drive winding wheel to carry out different step or synchronous reciprocating action to lower pull rope, realize control lower dental brace to pull lower row of teeth to carry out left and right movement training and front and back movement training of temporomandibular joint, additionally can carry out occlusal movement training of temporomandibular joint, carry out a variety of training actions on temporomandibular joint by electronic instrument equipment according to the program formulated by therapist, on the basis of guaranteeing training effectiveness, reasonably control intensity to reduce the risk of joint injury, overcome the technical problem that intensity is not easy to control when manually pulling dental brace to control temporomandibular joint movement, easy to use excessive force to damage temporomandibular joint.

An orthodontic appliance comprises a combination of pre-made and custom elements to provide treatment versatility with minimized costs and time delays. The appliance comprises a pre-made arch member segment elastically deformed to removably attach to coupling units bonded to teeth. The appliance also comprises a connection module to further elastically deform the arch member segment to generate motive forces or to just connect separate arch member segments in variations. In another embodiment the appliance comprises pre-made connectors having one end attached to a tooth and another end elastically deformed to attach to an arch component. The attachment to teeth comprises coupling units bonded to teeth in variations. The arch components, coupling units, and connection modules may be custom made to match surfaces inside the mouth. Motive forces may be generated by the elastic deformation of the arch member segment, connectors, arch component, or connection module to align teeth.

The utility model relates to the technical field of orthodontics, in particular to a magnetic invisible orthodontic appliance for treating opening and closing of rear teeth, which comprises an invisible tooth socket, an eruption cap, a magnetic component and a retention accessory, the eruption cap is used for guiding and accommodating the growth of target teeth and is integrally formed with the invisible tooth socket; when in use, the retention accessory is arranged on the inner side of a tooth and is allowed to be accommodated in an invisible tooth socket; the magnetic assembly is arranged on the inner surface of the germination cap and comprises a first magnetic part arranged on one side, close to a target tooth, of the germination cap and a second magnetic part arranged on the occlusal surface of the target tooth; wherein the first magnetic part and the second magnetic part are in magnetic attraction connection and are used for realizing and enhancing the orthodontic force of the invisible tooth socket. Compared with the prior art, the magnetic invisible appliance is high in adjustability, stable in applied force, long in duration and capable of reducing mechanical stimulation.

An oral care composition with retinoid compound, amino acid, and / or olive oil. An oral care composition with retinoid compound, a pentapeptide, such as palmitoyl KTTKS [SEQ ID NO. 2], and / or an olive oil. Methods of preventing gingival recession, stopping gingival recession, reversing gingival recession, decrease gum recession, increase gingival barrier protection, promoting collagen synthesis, promoting extracellular matrix synthesis, increasing gum resilience, increasing epidermal thickness and / or promoting fibrillin synthesis, in an oral cavity of an animal by contacting the oral care compositions with at least one surface of the oral cavity.

An intraoral apparatus for evaluating oral function of a patient. The intraoral apparatus comprises a dental-engagement element configured to engage with one or more teeth of the patient. The intraoral apparatus additionally comprises an oral media configured to be positioned adjacent to a palate of the patient. The intraoral apparatus further comprises a plurality of sensors associated with the oral media.

The invention discloses an immediate implantation operation method and system based on augmented reality. The method comprises the steps that CT data of the oral cavity and the head of a patient are acquired and subjected to denoising and normalization processing; the method comprises the following steps: constructing oral digital twins of a patient based on CT data, and completing tissue segmentation, key position marking and gravity center calculation; calculating tooth extraction and implantation paths through operation design software, dynamically predicting stress states of the alveolar bone at different implantation angles and depths based on finite element analysis, and generating an implantation planning scheme; accurately registering the digital twin with the oral cavity of the patient by using multi-point identification and an SLAM (Simultaneous Localization and Mapping) algorithm, and establishing a space mapping relation of an implanting tool; a doctor wears AR glasses to carry out surgery operation, a virtual guiding path and implanting depth and angle information are displayed in real time, and a three-dimensional virtual resistance simulation curved surface is overlaid to prompt bone wall resistance changes; tooth extraction and implantation operations are completed according to AR prompts, stable fusion of the implant and a tooth extraction socket or a bone wall is achieved, and data of the whole operation process are recorded for postoperative analysis.