Intelligent system and method based on oral digital diagnosis and treatment, electronic equipment and medium

Abstract

The invention provides an intelligent system and method based on oral cavity digital diagnosis and treatment, electronic equipment and a medium, and relates to the field of oral cavity diagnosis and treatment, the system comprises a data processing module used for processing historical cases to obtain a case template, and based on the corresponding relationship between different historical cases and a plurality of different historical treatment schedules, determining the case template according to the corresponding relationship between the different historical cases and the plurality of different historical treatment schedules; determining a plurality of treatment schemes corresponding to the case template; the data acquisition module is used for sending the oral cavity data to the intelligent recommendation module; and the intelligent recommendation module is used for determining a target case template according to the oral data and the diagnosis information of the doctor, and determining a target treatment scheme corresponding to the target case template according to a corresponding relationship between different case templates and a plurality of different treatment schemes. According to the method, multi-dimensional information such as oral health conditions, living habits and treatment preferences of the patient can be integrated, an artificial intelligence algorithm is applied, a treatment scheme most suitable for the patient is automatically analyzed and accurately recommended, and customized medical services are provided for the patient.

Description

Technical Field

[0001] The present application relates to the field of oral diagnosis and treatment, and specifically, to an intelligent system, method, electronic equipment and medium based on oral digital diagnosis and treatment. Background Art

[0002] In the field of oral medicine, there are currently a series of mature technical means, the most typical of which is imaging diagnosis technology, such as X-rays and CT scans, which are widely used to observe and analyze subtle changes in the internal structure of the oral cavity. Doctors manually input and write diagnostic reports based on such imaging data, a classic but time-consuming and labor-intensive process.

[0003] In addition, conventional surgery and restorative techniques are also an indispensable part of oral care, covering a variety of common surgical operations such as tooth extraction, filling, and dentures, as well as the use of various methods to repair and reconstruct teeth. In this process, doctors also need to manually issue medical orders and medical records. However, the medical record filling process is often complicated and cumbersome, which increases the workload.

[0004] As for oral treatment, traditional treatment methods are still mostly used. Doctors need to manually enter the patient's relevant symptoms, condition and other information in the case one by one, and comprehensively record the patient's condition evolution in the form of text description. In the traditional information recording method, the information between each module is independent of each other and lacks effective integration, which is particularly obvious in the field of oral medicine. During the oral diagnosis and treatment process, due to the complexity and diversity of dental conditions, doctors often face difficulties in entering relevant information, and the entered content is not intuitive enough, which affects the efficiency and accuracy of diagnosis and treatment. Summary of the invention

[0005] The purpose of the embodiments of the present application is to provide an intelligent system, method, electronic device and medium based on digital oral diagnosis and treatment, so as to solve the above-mentioned problems existing in the prior art and improve the efficiency and accuracy of oral diagnosis and treatment.

[0006] In a first aspect, an intelligent system based on oral digital diagnosis and treatment is provided, which may include: a data processing module, a data acquisition module and an intelligent recommendation module;

[0007] The data processing module is used to process historical cases to obtain case templates, and determine multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans;

[0008] The data collection module is used to collect the patient's oral data and send the oral data to the intelligent recommendation module;

[0009] The intelligent recommendation module is used to determine the target case template based on the oral data and the doctor's diagnosis information, and determine the target treatment plan corresponding to the target case template based on the correspondence between different case templates and multiple different treatment plans.

[0010] In a possible implementation, the data processing module is specifically used to:

[0011] Obtain historical cases corresponding to historical diagnosis information of multiple doctors on multiple patients within a historical time period;

[0012] According to each historical diagnosis information, multiple historical cases are classified to determine the category cases;

[0013] For any category of cases, the historical case corresponding to the category of cases that is used the most times in the historical time period is determined as the target case;

[0014] The target case is cleaned and the case template is determined.

[0015] In one possible implementation, the case template includes: a title and chief complaint paragraph, a present medical history paragraph, a past medical history paragraph, an epidemiological history paragraph, an allergy history paragraph, a diagnosis paragraph, a specialist examination paragraph, an auxiliary examination paragraph, a prescription information paragraph, an instructions and precautions paragraph, a treatment plan paragraph, and a handling paragraph.

[0016] In a possible implementation, the intelligent recommendation module is specifically used to:

[0017] Determine the same diseased teeth in each dental quadrant according to the tooth positions of the diseased teeth in the oral data and the configured dental quadrants;

[0018] A target case template is determined according to the diseased tooth, the tooth type of the diseased tooth and the doctor's diagnosis information.

[0019] In a possible implementation, the intelligent recommendation module is specifically used to:

[0020] After determining the target treatment plan, obtaining a final treatment plan manually determined by a doctor;

[0021] After determining the final treatment plan, determine the final medical instructions for the final treatment plan according to the correspondence between different treatment plans and different medical instructions, and fill the final medical instructions into the instructions and precautions section of the target case template to form a target case.

[0022] In a possible implementation, the system further includes: a user interaction module;

[0023] The user interaction module is used to determine the target oral informed consent form corresponding to the target case according to the configured correspondence between different cases and different oral informed consent forms.

[0024] In a second aspect, an intelligent recommendation method based on oral digital diagnosis and treatment is provided, which may include:

[0025] Processing historical cases to obtain case templates, and determining multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans;

[0026] The target case template is determined based on the collected oral data of the patient and the doctor's diagnosis information, and the target treatment plan corresponding to the target case template is determined based on the correspondence between different case templates and multiple different treatment plans.

[0027] In a third aspect, an electronic device is provided, the electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0028] Memory, used to store computer programs;

[0029] The processor is used to implement any method step described in the first aspect when executing the program stored in the memory.

[0030] In a fourth aspect, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, any method step described in the first aspect is implemented.

[0031] The present application provides an intelligent system based on oral digital diagnosis and treatment, which includes: a data processing module for processing historical cases to obtain case templates, and based on the correspondence between different historical cases and multiple different historical treatment plans, determining multiple treatment plans corresponding to the case templates; a data acquisition module for collecting oral data of patients and sending the oral data to an intelligent recommendation module; an intelligent recommendation module for determining a target case template based on oral data and the doctor's diagnostic information, and determining a target treatment plan corresponding to the target case template based on the correspondence between different case templates and multiple different treatment plans. The present application is a system that integrates multi-dimensional information such as the patient's oral health status, living habits, and treatment preferences. The system uses artificial intelligence algorithms to automatically analyze and accurately recommend the most suitable personalized treatment plan for patients, providing patients with tailored medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 A schematic diagram of the structure of an intelligent system based on oral digital diagnosis and treatment provided in an embodiment of the present application;

[0034] Figure 2 A schematic diagram of the structure of a case template provided in an embodiment of the present application;

[0035] Figure 3 A schematic diagram of the quadrant division of teeth provided in an embodiment of the present application;

[0036] Figure 4 A schematic diagram of a target treatment regimen provided in an embodiment of the present application;

[0037] Figure 5 A schematic diagram of the steps of the final treatment plan provided in the embodiment of the present application;

[0038] Figure 6 A schematic diagram of an oral informed consent form provided in an embodiment of the present application;

[0039] Figure 7 A schematic diagram of a target case provided in an embodiment of the present application;

[0040] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0042] In recent years, China's oral medical service industry has shown a significant growth trend. Specifically, in 2021, the scale of China's oral medical service market has approached 150.7 billion yuan, and by 2022, the market size has jumped to about 174.2 billion yuan, demonstrating the vigorous development of the industry. Looking ahead, it is expected that the market size will continue to expand from 2023 to 2027, steadily increasing from 143.6 billion yuan to 226.8 billion yuan, and its compound annual growth rate is expected to remain at a high level of 12.10%. It is also predicted that if 2022 is used as the base point, the compound growth rate by 2026 may further increase to 15.6%, by which time the market size is expected to break through the 300 billion yuan mark for the first time in history, reaching a scale of about 318.2 billion yuan.

[0043] In this context, the total number of domestic dental medical institutions has approached 150,000, of which private institutions have an absolute advantage, far exceeding public institutions, and the market competition is becoming increasingly fierce. However, the domestic oral treatment field still faces many challenges, including but not limited to the diversity of lesions, the complexity of treatment techniques, and the lack of qualified orthodontic resources. Traditional oral treatment is highly dependent on the doctor's personal experience and technical level, and it often takes 8 to 10 years to train a qualified dentist, which is far from meeting the current society's growing oral health needs.

[0044] Furthermore, the traditional oral medical model has many shortcomings, such as over-reliance on doctors' experience, lengthy treatment cycles, and low efficiency. With the improvement of social and economic levels and the enhancement of people's awareness of oral health, the demand for oral medical services continues to rise. At the same time, the rapid development of digital technology and artificial intelligence has brought unprecedented opportunities for change in the field of oral medicine, especially providing solid technical support for the intelligent recommendation of treatment plans based on oral digital diagnosis and treatment data. In addition, the diversity of patients' oral health conditions and the increasing demand for personalized treatment have also put forward higher requirements for the formulation of treatment plans.

[0045] In view of this, medical institutions are eager to introduce intelligent technology to improve the efficiency and accuracy of diagnosis and treatment, reduce the difficulty of operation, and provide patients with better quality and more efficient oral treatment services. Therefore, it is particularly important to develop an intelligent system that can automatically and accurately recommend oral treatment. The system will rely on advanced technologies such as big data and artificial intelligence to assist doctors in quickly and accurately diagnosing the condition and formulating personalized treatment plans, thereby significantly improving patients' medical experience and satisfaction.

[0046] In the field of oral medicine, there are currently a series of mature technical means, the most typical of which is imaging diagnosis technology, such as X-rays and CT scans, which are widely used to observe and analyze subtle changes in the internal structure of the oral cavity. Doctors manually input and write diagnostic reports based on such imaging data, a classic but time-consuming and labor-intensive process.

[0047] In addition, conventional surgery and restorative techniques are also an indispensable part of oral care, covering a variety of common surgical operations such as tooth extraction, filling, and dentures, as well as the use of various methods to repair and reconstruct teeth. In this process, doctors also need to manually issue medical orders and medical records. However, the medical record filling process is often complicated and cumbersome, which increases the workload.

[0048] As for oral treatment, traditional treatment methods are still mostly used. Doctors need to manually enter the patient's relevant symptoms, condition and other information in the case one by one, and comprehensively record the patient's condition evolution in the form of text description. Although this recording method is detailed and accurate, its efficiency problem is particularly prominent when facing a large number of patients.

[0049] In summary, although the above-mentioned technologies play a vital role in oral healthcare, with the rapid development of science and technology, the continuous emergence of emerging technologies is bringing unprecedented changes and opportunities to the field of oral healthcare, and is expected to further improve the efficiency and quality of diagnosis and treatment.

[0050] In traditional information recording methods, the information between modules is independent of each other and lacks effective integration, which is particularly evident in the field of oral medicine. During oral diagnosis and treatment, due to the complexity and diversity of dental conditions, doctors often face difficulties in entering relevant information, and the entered content is not intuitive enough, which affects the efficiency and accuracy of diagnosis and treatment.

[0051] In addition, the formulation of oral treatment plans is usually highly dependent on the doctor's personal experience and subjective judgment, which makes the treatment plan highly subjective and may lack accuracy. This situation may increase the risk of diagnosis and treatment and reduce patient satisfaction.

[0052] In addition, the writing of oral medical records requires doctors to enter them manually, and the filling process is complicated and tedious, which not only increases the workload of doctors, but also may affect the accuracy and completeness of medical record content due to human factors. Therefore, the application of traditional information recording methods in the field of oral medicine has many shortcomings and needs to be improved urgently.

[0053] Therefore, the present application provides an intelligent system based on oral digital diagnosis and treatment, which is used to solve the above-mentioned problems existing in the prior art and can improve the efficiency and accuracy of the oral diagnosis and treatment process.

[0054] The preferred embodiments of the present application are described below in conjunction with the drawings in the specification. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present application, and are not used to limit the present application. In addition, the embodiments and features in the embodiments of the present application may be combined with each other if there is no conflict.

[0055] Figure 1 This is a schematic diagram of the structure of an intelligent system based on oral digital diagnosis and treatment provided in an embodiment of the present application. Figure 1 As shown, the system may include:

[0056] Data processing module, data acquisition module, intelligent recommendation module and user interaction module.

[0057] A. A data processing module is used to process historical cases to obtain case templates, and determine multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans.

[0058] The data processing module can be used specifically for:

[0059] Obtain historical cases corresponding to historical diagnosis information of multiple doctors on multiple patients within a historical time period;

[0060] According to each historical diagnosis information, multiple historical cases are classified to determine category cases; for example, category cases diagnosed by doctors as caries, periodontal disease, pulpitis, or tooth cracks or fractures.

[0061] For any category of cases, the historical case corresponding to the category of cases that has been used the most times in the historical time period is determined as the target case;

[0062] The target case is cleaned and the case template is determined. The cleaning process can be understood as the process of removing variable information in the target case. The variable information is the personal attribute information about the patient corresponding to the target case.

[0063] refer to Figure 2 As shown, the case template includes multiple paragraphs, which may be: title and main complaint paragraph, current medical history paragraph, past medical history paragraph, epidemiological history paragraph, allergy history paragraph, diagnosis paragraph, specialist examination paragraph, auxiliary examination paragraph, prescription information paragraph, instructions and precautions paragraph, treatment plan paragraph and treatment paragraph. In simple terms, the case template may be a text composed of the above paragraphs.

[0064] Since historical cases are confirmed cases in the historical time period, each historical case corresponds to a historical treatment plan in the historical time period. In short, the database records the correspondence between different historical cases and multiple different historical treatment plans. In other words, multiple treatment plans corresponding to the case template can be determined based on the correspondence between different historical cases and multiple different historical treatment plans.

[0065] Since the case template and the corresponding multiple treatment plans are all data determined by a certain doctor, the multiple case templates determined and the correspondence between different historical cases and multiple different historical treatment plans can be verified by authoritative dental medical experts to determine more accurate correspondence between different case templates and multiple different treatment plans.

[0066] The treatment plan specifically includes the following data:

[0067] 1. Treatment plan adaptation conditions: front and back teeth, deciduous and permanent teeth, diagnosis and treatment level, general anesthesia plan, oral specialty field, applicable departments and applicable diagnosis, etc.

[0068] 2. Treatment steps corresponding to the treatment plan: The treatment plan requires several steps to complete the treatment. For example, the treatment plan for secondary caries is divided into four steps: direct filling, soothing + caries removal, filling (after soothing), and inspection.

[0069] 3. Medical order template information corresponding to the treatment steps; Western medicine, traditional Chinese medicine treatment, inspection, testing and treatment, etc.

[0070] 4. Medical record paragraph template information corresponding to the treatment steps: chief complaint, current medical history, past history, epidemiological history, allergy history, diagnosis, specialist examination, auxiliary examination, prescription information, instructions and precautions, treatment plan, treatment and other paragraph templates.

[0071] In some embodiments, a custom treatment plan (plan) is configured in the correspondence between different case templates and multiple different treatment plans. In other words, doctors have the ability to customize treatment plan data, and can directly enter their commonly used treatment plans that do not exist in the system into the system for use by doctors themselves and department staff: directly add plans and their steps, or choose to assemble using existing steps.

[0072] For treatment plans, including those customized by doctors, the system AI will automatically record the plan adaptation information, including the patient's diagnosed tooth position and other relevant adaptation conditions, and track the doctor's usage frequency, and integrate this information into the plan data.

[0073] In some embodiments, the different historical treatment plans in the correspondence between different historical cases and multiple different historical treatment plans can also be processed by a deep learning model on the original data in the historical cases, combined with existing medical literature and clinical guidelines, to generate historical recommended treatment plans to increase the number of treatment plans in the correspondence. The original data can be image data (such as X-rays, CT scans); it can also include the patient's age, gender, past medical history, lifestyle, historical symptoms, etc.

[0074] In some embodiments, the doctor can manually associate the medical record template that is adapted to the treatment plan steps, and the system automatically records the doctor's execution of the treatment plan steps, the signed medical order information, the signed medical record information, the matching current patient's dental mucosa diagnosis and other adaptation information.

[0075] In addition, doctors can manually save frequently used medical records as templates and associate them with specific protocol steps.

[0076] In this way, the next time these plan steps are used, the system will automatically recommend the corresponding medical record template to the doctor to improve work efficiency and accuracy.

[0077] When a doctor sees a patient, the system will recommend the doctor to choose the corresponding plan from high to low based on the adaptability of the treatment plan and the doctor's frequency of use.

[0078] This data processing module can use the hospital system library of the existing online system as a benchmark to intelligently collect real information such as diagnoses, medical orders, medical records, etc. issued by doctors within a historical period of time, and automatically remove patient information during collection, and extract it into diagnostic terms, medical order templates, medical record templates, adaptation features, etc. into the intelligent library. The system collects, cleans, and integrates it into commonly used oral treatment plan data. As of now, the data center has more than 200 pre-made treatment plan data, which basically covers more than 80% of oral treatments. When leaving the factory, they are directly sent from the oral data platform center to various medical institutions for use. When the doctor prescribes a diagnosis, the system automatically recommends the adapted treatment plan directly to the doctor.

[0079] B. Data acquisition module.

[0080] The data collection module is used to collect the patient's oral data and send the oral data to the intelligent recommendation module. Specifically, during the consultation process, the doctor will ask the patient in detail about the oral condition, and then collect and accurately enter relevant data, including the specific conditions of the oral teeth, the diagnosis results of the oral mucosa, and the imaging data obtained by filming, etc., to ensure the comprehensiveness and accuracy of the information.

[0081] After the doctor's examination and confirmation, the problem can be entered intuitively through the system interface. Tooth position category: teeth, tooth surfaces, supernumerary teeth and diagnostic information; site category: mucosal site and diagnostic information, among which the mucosal site can be directly marked.

[0082] C. Intelligent recommendation module.

[0083] The intelligent recommendation module is used to determine the target case template based on the oral data and the doctor's diagnosis information, and to determine the target treatment plan corresponding to the target case template based on the correspondence between different case templates and multiple different treatment plans.

[0084] The process of determining the target case template may specifically include: determining the same diseased teeth in each dental quadrant according to the tooth positions of the diseased teeth in the oral data and the dental quadrant partitions configured; the dental quadrant partitions are as follows: Figure 3 shown.

[0085] A target case template is determined based on the diseased tooth, the tooth type of the diseased tooth and the doctor's diagnosis information.

[0086] Afterwards, based on the correspondence between different case templates and multiple different treatment plans, the target treatment plan corresponding to the target case template is determined.

[0087] After determining the target treatment plan, obtain the final treatment plan manually determined by the doctor;

[0088] After the final treatment plan is determined, the final medical instructions for the final treatment plan are determined according to the correspondence between different treatment plans and treatment steps and different medical instructions, and the final medical instructions are filled into the instructions and precautions section of the target case template to form a target case.

[0089] It is understandable that the module will also bring the patient's attribute information into the corresponding paragraph of the target case, such as the patient's name, gender, and age.

[0090] This process can also be understood as follows: the intelligent recommendation module integrates an intelligent algorithm, which automatically groups and reorganizes diagnosis-related information based on the collected tooth position and other related information, and performs precise matching according to the tooth position.

[0091] Tooth position reorganization: The tooth data collected according to the tooth position map is sorted by the quadrant where the teeth are located (common in dental medicine), and the same teeth in each quadrant are extracted one by one, and the associated diagnosis of the tooth is added to reorganize into the recommended diagnosis ( Figure 4 Demonstrated tooth realignment and recommended appropriate treatment options).

[0092] Combination Figure 3 As shown, the quadrant division of teeth is as follows: permanent teeth are in quadrants 1, 2, 3, and 4, and deciduous teeth are in quadrants 5, 6, 7, and 8.

[0093] Afterwards, based on the reorganized dental data, the system will comprehensively consider factors such as anterior and posterior teeth, deciduous and permanent teeth, diagnosis and treatment level, general anesthesia plan, oral specialty field, applicable departments and applicable diagnosis, as well as other relevant signs, and intelligently recommend the most suitable target treatment plan.

[0094] Recommended adapter:

[0095] According to the reorganized teeth, the conditions of the front and back teeth, deciduous and permanent teeth in the treatment plan are adapted.

[0096] Based on the reorganized diagnosis, adapt the applicable diagnosis in the treatment plan.

[0097] According to the patient's current visiting department, the applicable department in the adapted treatment plan corresponds to the dental specialty; according to the doctor's frequency of use and the ranking in the adapted treatment plan, the scope of application, and the diagnosis and treatment level are recommended below the reorganized diagnosis set for the doctor to select and confirm.

[0098] In simple terms, combining Figure 4 As shown, the intelligent recommendation module aggregates different problems of the same tooth through an integrated intelligent algorithm, thereby taking into account all the problems of the tooth and generating a comprehensive target treatment plan.

[0099] Afterwards, when doctors select a final treatment plan from multiple target treatment plans, they can filter them according to actual needs, supporting doctors to choose to use one or more final treatment plans at the same time, and flexibly adjust the steps of the manually selected final treatment plan to retain or execute only necessary steps.

[0100] Furthermore, the module will automatically provide corresponding medical advice and medical record templates for the final treatment plan selected by the doctor and the steps of the final treatment plan (the system obtains the medical advice template corresponding to the step and the medical record paragraph template corresponding to the step according to the treatment plan steps to be executed, and automatically assembles a complete medical record template according to the paragraph template assembly rules, and automatically recommends the processed information to the doctor) for the doctor's reference or direct quotation to improve work efficiency and the standardization of medical record writing. Figure 5 As shown, the steps can be understood as the execution steps of any treatment plan.

[0101] In some embodiments, for patients returning for follow-up visits, the system supports directly introducing the patient's previous treatment plan into this treatment, so that the doctor can seamlessly continue the subsequent treatment process to ensure the continuity and effectiveness of the treatment.

[0102] When the patient comes back for a follow-up visit, the doctor will prescribe a treatment plan based on the system's recommended treatment plan and the patient's previous diagnosis and treatment plan. The prescribed treatment plan may be a modified plan based on the recommended plan and the previous treatment plan, or it may be any plan selected from the two. The doctor determines the plan to be used for this treatment and continues with subsequent treatment.

[0103] The doctor and the patient confirm the treatment steps. Based on changes in the patient's condition, the treatment steps need to be simplified or increased, and the steps can be manually adjusted in the change plan.

[0104] This module can intelligently recommend and generate medical orders based on the treatment plans and steps formulated by doctors. Doctors can make fine adjustments and sign for confirmation based on this, thereby improving work efficiency and the accuracy of medical orders.

[0105] The module also has the function of automatically generating medical records. Based on the doctor's treatment plan and the patient's condition, the system can recommend and generate the corresponding medical record template. The doctor only needs to make a few adjustments to the template to save and sign it. In addition, relevant information such as dental mucosal diagnosis will also be automatically integrated into the target medical record, further reducing the doctor's workload and improving the integrity of the medical record.

[0106] D. User interaction module.

[0107] The user interaction module is used to determine the target oral informed consent form corresponding to the target case according to the corresponding relationship between different configured cases and different oral informed consent forms.

[0108] That is to say, combined Figure 6 As shown, the user interaction module can automatically recommend and display the corresponding oral informed consent form based on the patient's diagnosis information and other relevant conditions, ensuring that the patient makes decisions based on a full understanding of the treatment information.

[0109] The system provided by the present application extracts treatment plan information (including plan adaptation information, medical order templates corresponding to plan steps, medical record templates and paragraph template information corresponding to plan steps) through a data processing module; the data acquisition module comprehensively obtains the patient's oral data, and the intelligent recommendation module collects adaptation conditions according to the treatment plan, and intelligently recommends a treatment plan suitable for the patient's condition to the doctor. The doctor can select one or more final treatment plans for combined treatment, select different final treatment plans, and execute the treatment steps of the corresponding plan. The system automatically recommends adapted medical record templates and paragraph templates, and recommends adapted medical order templates. The doctor selects the medical order and medical record to be used. According to the patient's actual situation, if fine-tuning is required, the doctor signs the medical order and medical record after adjustment or confirmation. The user interaction module runs through the entire doctor-patient interaction process.

[0110] The system of this application greatly simplifies the traditional oral treatment process through the application of digital scanning and image processing technology, reduces the number of patient visits, and shortens the treatment cycle. For example, in the process of full denture restoration, patients only need to make 2 to 3 appointments to complete the treatment. At the same time, the introduction of intelligent treatment plans enables doctors to develop personalized treatment strategies based on the specific conditions of patients, thereby improving patient satisfaction. In addition, the use of AI technology also realizes rapid and accurate oral diagnosis, further improving the communication efficiency between doctors and patients.

[0111] This system uses cutting-edge artificial intelligence technologies such as deep learning and machine learning to conduct intelligent and in-depth analysis of patients' oral health data, aiming to accurately identify disease types, assess their severity, and predict potential health risks.

[0112] Based on the patient's unique condition and treatment needs, combined with a carefully constructed solution knowledge base and the guidance of experts' rich experience, we can tailor personalized treatment plan recommendations for patients.

[0113] This system is committed to integrating multiple sources of information such as patients' subjective descriptions, objective examination data, and living habits to ensure the accuracy and comprehensiveness of treatment recommendations.

[0114] Through comprehensive analysis of multi-dimensional patient data using intelligent algorithms, this system can make highly accurate recommendations for personalized treatment plans to meet the personalized needs of patients.

[0115] This system uses an automated processing flow to minimize manual intervention, thereby significantly improving the efficiency of treatment plan formulation.

[0116] This system is equipped with a user interaction module, which allows patients to intuitively understand and participate in the discussion and modification of treatment plans, thereby improving patients' treatment satisfaction and experience.

[0117] An intelligent recommendation method based on oral digital diagnosis and treatment provided in an embodiment of the present application is applied to the above-mentioned system. The method may include:

[0118] Step S210: Process the historical cases to obtain a case template, and determine multiple treatment plans corresponding to the case template based on the correspondence between different historical cases and multiple different historical treatment plans;

[0119] Step S220: determine a target case template based on the collected oral data of the patient and the doctor's diagnosis information, and determine a target treatment plan corresponding to the target case template based on the correspondence between different case templates and multiple different treatment plans.

[0120] The present application also provides an electronic device, such as Figure 8 As shown, it includes a processor 810 , a communication interface 820 , a memory 830 and a communication bus 840 , wherein the processor 810 , the communication interface 820 , and the memory 830 communicate with each other via the communication bus 840 .

[0121] Memory 830, used for storing computer programs;

[0122] The processor 810 is used to execute the program stored in the memory 830 to implement the following steps:

[0123] Processing historical cases to obtain case templates, and determining multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans;

[0124] The target case template is determined based on the collected oral data of the patient and the doctor's diagnosis information, and the target treatment plan corresponding to the target case template is determined based on the correspondence between different case templates and multiple different treatment plans.

[0125] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0126] The communication interface is used for communication between the above electronic device and other devices.

[0127] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0128] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0129] In another embodiment provided in the present application, a computer-readable storage medium is also provided, in which instructions are stored. When the computer-readable storage medium is executed on a computer, the computer executes an intelligent recommendation method based on oral digital diagnosis and treatment as described in any of the above embodiments.

[0130] In another embodiment provided in the present application, a computer program product comprising instructions is also provided, which, when executed on a computer, enables the computer to execute an intelligent recommendation method based on oral digital diagnosis and treatment as described in any of the above embodiments.

[0131] Those skilled in the art will appreciate that the embodiments in the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt a complete hardware embodiment, a complete software embodiment, or a form of an embodiment combining software and hardware. Moreover, the present application may adopt a form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0132] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0133] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0134] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0135] Unless otherwise defined, the technical terms or scientific terms used in this application should be understood by people with ordinary skills in the field to which the present invention belongs. "First", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect", "couple" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0136] Although the preferred embodiments of the present application have been described, those skilled in the art may make additional changes and modifications to these embodiments once they are aware of the basic creative concepts. Therefore, the present application embodiments are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present application embodiments.

[0137] Obviously, those skilled in the art can make various changes and modifications to the embodiments in the present application without departing from the spirit and scope of the embodiments in the present application. Thus, if these modifications and variations of the embodiments in the present application are within the scope of the embodiments in the present application and their equivalents, the embodiments in the present application are also intended to include these modifications and variations.

Claims

1. An intelligent system based on oral digital diagnosis and treatment, characterized in that: The system includes: a data processing module, a data collection module and an intelligent recommendation module; The data processing module is used to process historical cases to obtain case templates, and determine multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans; The data collection module is used to collect the patient's oral data and send the oral data to the intelligent recommendation module; The intelligent recommendation module is used to determine the target case template based on the oral data and the doctor's diagnosis information, and determine the target treatment plan corresponding to the target case template based on the correspondence between different case templates and multiple different treatment plans.

2. The system according to claim 1, characterized in that The data processing module is specifically used for: Obtain historical cases corresponding to historical diagnosis information of multiple doctors on multiple patients within a historical time period; According to each historical diagnosis information, multiple historical cases are classified to determine the category cases; For any category of cases, the historical case corresponding to the category of cases that is used the most times in the historical time period is determined as the target case; The target case is cleaned and the case template is determined.

3. The system according to claim 2, characterized in that The case template includes: title and chief complaint paragraph, present medical history paragraph, past medical history paragraph, epidemiological history paragraph, allergy history paragraph, diagnosis paragraph, specialist examination paragraph, auxiliary examination paragraph, prescription information paragraph, instructions and precautions paragraph, treatment plan paragraph and management paragraph.

4. The system according to claim 3, characterized in that The intelligent recommendation module is specifically used for: Determine the same diseased teeth in each dental quadrant according to the tooth positions of the diseased teeth in the oral data and the configured dental quadrants; A target case template is determined according to the diseased tooth, the tooth type of the diseased tooth and the doctor's diagnosis information.

5. The system according to claim 4, characterized in that The intelligent recommendation module is specifically used for: After determining the target treatment plan, obtaining a final treatment plan manually determined by a doctor; After determining the final treatment plan, determine the final medical instructions for the final treatment plan according to the correspondence between different treatment plans and different medical instructions, and fill the final medical instructions into the instructions and precautions section of the target case template to form a target case.

6. The system according to claim 5, characterized in that The system further comprises: a user interaction module; The user interaction module is used to determine the target oral informed consent form corresponding to the target case according to the configured correspondence between different cases and different oral informed consent forms.

7. An intelligent recommendation method based on oral digital diagnosis and treatment, characterized in that: Applied to the system according to any one of claims 1 to 6, the method comprises: Processing historical cases to obtain case templates, and determining multiple treatment plans corresponding to the case templates based on the correspondence between different historical cases and multiple different historical treatment plans; The target case template is determined based on the collected oral data of the patient and the doctor's diagnosis information, and the target treatment plan corresponding to the target case template is determined based on the correspondence between different case templates and multiple different treatment plans.

8. An electronic device, characterized in that: The electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, used to store computer programs; The processor is used to implement the method steps described in claim 7 when executing the program stored in the memory.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method steps of claim 7 are implemented.

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