Traditional Chinese medicine artificial intelligence auxiliary diagnosis and treatment system and construction method

Abstract

The invention discloses a traditional Chinese medicine artificial intelligence auxiliary diagnosis and treatment system which comprises a patient inquiry terminal, an artificial intelligence diagnosis and treatment platform, a pathology database, a diagnosis and treatment decision module and a medical care terminal. The patient inquiry terminal is used for acquiring pathology data of a patient, the artificial intelligence diagnosis and treatment platform is used for modeling and analyzing the pathology data of the patient and performing evaluation and prediction, the pathology database is used for providing pathology samples for pathology comparison, and the diagnosis and treatment decision module is used for diagnosing the pathology of the patient to obtain a diagnosis and treatment conclusion. And the medical care terminal is used for realizing interaction among the medical care personnel, the patient and the artificial intelligence system. According to the invention, corresponding symptoms and experience diagnosis prescriptions are obtained by objectively collecting information for users and combining artificial intelligence technology analysis and are provided for doctors for reference, the main problem of modern development of traditional Chinese medicine diagnosis and treatment is solved, and the diagnosis and treatment speed and efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent traditional Chinese medicine diagnosis and treatment, and particularly relates to an artificial intelligence-assisted diagnosis and treatment system for traditional Chinese medicine and a construction method thereof. Background Art

[0002] The modernization of traditional Chinese medicine diagnosis and treatment technology must rely on the development of modern science and technology. With the theory of syndrome differentiation and treatment of traditional Chinese medicine as the core and modern traditional Chinese medicine diagnosis technology as the support, artificial intelligence technology is used to informatize and intelligentize the content of traditional Chinese medicine diagnosis and treatment decision-making in literature data. Through the decision-making methods of clinical diagnosis, treatment, and curative effect evaluation of diseases and syndromes, the combination of disease and syndrome diagnosis and treatment, a modern traditional Chinese medicine diagnosis technology and an intelligent traditional Chinese medicine diagnosis and treatment system are established, a diagnosis and treatment technology system that conforms to the characteristics of traditional Chinese medicine itself is established, the advantages of the combination of human and machine are maximally exerted, and finally an intelligent traditional Chinese medicine diagnosis and treatment decision-making system with the connotation of syndrome differentiation and treatment is established to provide intelligent decision-making assistance support for traditional Chinese medicine clinical diagnosis and treatment, and to explore and innovate the diagnosis and treatment mode of traditional Chinese medicine diseases and syndromes.

[0003] When the current artificial intelligence-assisted diagnosis and treatment system for traditional Chinese medicine diagnoses the pathological data of patients, it usually conducts a comparative analysis based on the original pathological data samples and the obtained pathological data samples. It can only objectively diagnose the information of the pathological data samples, and cannot evaluate and predict the future development trend of the pathological data samples. Therefore, it is impossible to accurately and comprehensively understand the pathological data samples, reducing the reliability of the artificial intelligence-assisted diagnosis and treatment system. Summary of the Invention

[0004] In view of this, the present invention provides an artificial intelligence-assisted diagnosis and treatment system for traditional Chinese medicine and a construction method thereof, aiming to solve the problem that the diagnosis results of the existing traditional Chinese medicine-assisted diagnosis and treatment system are not objective and efficient enough.

[0005] To achieve the above object, the present invention adopts the following technical solution: An artificial intelligence-assisted diagnosis and treatment system for traditional Chinese medicine, comprising a patient interview terminal, an artificial intelligence diagnosis and treatment platform, a pathological database, a diagnosis and treatment decision-making module, and a medical staff terminal; The patient interview terminal is used to obtain the pathological data of the patient himself, The artificial intelligence diagnosis and treatment platform is used to model and analyze the patient's pathological data and conduct evaluation and prediction, The pathological database is used to provide pathological samples for pathological comparison, The diagnosis and treatment decision-making module is used to diagnose the patient's pathology to obtain a diagnosis and treatment conclusion and give a targeted diagnosis and treatment plan, The medical staff terminal is used to realize the interaction among medical staff, patients, and the artificial intelligence system.

[0006] As a further description of the above technical solution: The patient interview terminal includes a tongue and facial image detection module and a pulse condition detection module; The tongue and face image detection module is used to analyze the features of the user's face and tongue coating image to obtain the tongue and face image detection result; The pulse condition detection module is used to analyze the features of the user's pulse condition to obtain the pulse condition detection result; As a further description of the above technical solution: The tongue and face image detection module includes a camera, a face recognition unit, and a tongue coating recognition unit; The camera is used to collect the face image or the tongue coating image and send them to the face recognition unit and the tongue coating recognition unit respectively; The face recognition unit and the tongue coating recognition unit are respectively used to analyze the features of the face image and the tongue coating image, and send the face feature analysis result and the tongue coating feature analysis result to the artificial intelligence diagnosis and treatment platform respectively.

[0007] As a further description of the above technical solution: The pulse condition detection module includes a pulse diagnosis unit and a pulse condition processing unit; The pulse diagnosis unit is used to collect the user's pulse condition data and send the collected data to the pulse condition processing unit; The pulse condition processing unit is used to analyze the features of the pulse condition data collected by the pulse diagnosis unit and further send the pulse condition analysis result to the artificial intelligence diagnosis and treatment platform.

[0008] As a further description of the above technical solution: The artificial intelligence diagnosis and treatment platform includes a data processing module, a matching and comparison module, a modeling and analysis module, and an evaluation and prediction module; The data processing module is used to classify, delete, and sort out the obtained comprehensive patient pathological data to ensure the consistency of the patient's pathological data; The matching and comparison module is used to compare the processed pathological data with the pathological samples in the pathological database for intelligent image and numerical comparison to obtain the pathological data with abnormalities; The modeling and analysis module is used to establish a virtual model that conforms to the patient's physiological state, import the abnormal pathological data, and perform simulation operations on the abnormal pathological data; The evaluation and prediction module is used to evaluate the development trend of the pathological data after modeling and simulation, and predict the possible hazards brought by the pathological data.

[0009] As a further description of the above technical solution: The pathological database includes a pathological sample module, a sample error correction module, and a sample update module; The pathological sample module is used to store the historical collected pathological sample images and numerical data, and provide the necessary basic data for artificial intelligence diagnosis and treatment; The sample error correction module is used to promptly correct the errors and deficiencies in the pathological samples in the case database to ensure the scientific nature of the pathological samples; The sample update module is used to collect new pathological sample data and import the new data in the external database through networking to realize the data update of the pathological database.

[0010] As a further description of the above technical solution: The diagnosis and treatment decision-making module includes a conclusion decision-making module, a plan guidance module, and a diagnosis and treatment expectation module; The conclusion decision-making module is used to scientifically and accurately diagnose the pathological data after modeling analysis and give corresponding diagnosis and treatment conclusions; The plan guidance module is used to provide a diagnosis and treatment plan corresponding to the diagnosis and treatment conclusion to assist medical staff in timely diagnosis and treatment; The diagnosis and treatment expectation module is used to analyze the existing treatment results of the diagnosis and treatment conclusion and calculate the diagnosis and treatment status after the implementation of the diagnosis and treatment plan.

[0011] As a further description of the above technical solution: The medical staff terminal includes a doctor-patient interaction module and an intelligent interaction module; The doctor-patient interaction module is used to realize two-way interaction between medical staff and patients to ensure the interconnection of data between both parties in medical treatment; The intelligent interaction module is used to realize two-way interaction between medical staff and the artificial intelligence diagnosis and treatment system to ensure the interconnection of data between the system and medical staff.

[0012] A construction method of a traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system includes the following steps: S1: Obtain the original pathological data of patients through multiple channels to form a pathological data sample; S2: Preprocess the obtained pathological data sample to obtain directly usable pathological data and import it into the artificial diagnosis and treatment system; S3: Compare the obtained pathological data sample with the existing pathological data samples to screen out abnormal pathological data; S4: Model and analyze the abnormal pathological data and predict and evaluate the development trend and harm degree of the pathological data; S5: Diagnose the pathological data to give a diagnosis and treatment conclusion and provide a corresponding diagnosis and treatment plan.

[0013] The present invention provides a construction method of a traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system, having the following beneficial effects: The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system in the present invention integrates the achievements of modern artificial intelligence technology and the clinical experience of many traditional Chinese medicine experts, including a tongue and facial image detection module and a pulse condition detection module, corresponding to the four diagnostic methods of inspection, auscultation and olfaction, inquiry, and palpation in traditional Chinese medicine respectively. By integrating the four diagnostic methods of inspection, auscultation and olfaction, inquiry, and palpation, it can objectively collect and analyze user information and make a diagnosis. Through the information objectively collected from the user and combined with artificial intelligence technology, the corresponding syndrome items and empirical diagnosis prescriptions are analyzed and provided to the doctor for reference, which has the advantage of helping the doctor improve the diagnosis plan, can effectively promote the leapfrog development of traditional Chinese medicine diagnosis and treatment technology, solve the main problems in the modern development of traditional Chinese medicine diagnosis and treatment, provide a reference basis for the existing doctor when formulating a diagnosis plan, assist the doctor in diagnosis and treatment, and improve the speed and efficiency of diagnosis and treatment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of a traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system proposed by the present invention; Figure 2 It is a schematic diagram of the patient inquiry terminal in the present invention; Figure 3 It is a schematic diagram of the artificial intelligence diagnosis and treatment platform in the present invention; Figure 4 It is a schematic diagram of the pathological database in the present invention; Figure 5 It is a schematic diagram of the diagnosis and treatment decision-making module in the present invention; Figure 6 It is a schematic diagram of the medical staff terminal in the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. The described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0016] As Figure 1 shown, a traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system includes a patient inquiry terminal, an artificial intelligence diagnosis and treatment platform, a pathological database, a diagnosis and treatment decision-making module, and a medical staff terminal; The patient inquiry terminal is used to obtain the pathological data of the patient himself; The artificial intelligence diagnosis and treatment platform is used to model and analyze the patient's pathological data and perform evaluation and prediction; The pathological database is used to provide the pathological samples for pathological comparison; The diagnosis and treatment decision-making module is used to diagnose the patient's pathology to obtain a diagnosis conclusion and give a targeted diagnosis and treatment plan; The medical staff terminal is used to realize the interaction between medical staff, patients and the artificial intelligence system.

[0017] As Figure 2As shown in the figure, the patient inquiry terminal includes a tongue and facial image detection module and a pulse condition detection module; The tongue and facial image detection module is used to perform feature analysis on the user's face and tongue coating images to obtain the tongue and facial image detection results; The pulse condition detection module is used to perform feature analysis on the user's pulse condition to obtain the pulse condition detection results.

[0018] As Figure 3 shown in the figure, the artificial intelligence diagnosis and treatment platform includes a data processing module, a matching and comparison module, a modeling and analysis module, and an evaluation and prediction module; The data processing module is used to classify, delete, and organize the obtained comprehensive patient pathological data to ensure the consistency of the patient pathological data; The matching and comparison module is used to perform intelligent image and numerical comparison between the processed pathological data and the pathological samples in the pathological database to obtain the pathological data with abnormalities; The modeling and analysis module is used to establish a virtual model that conforms to the patient's physiological state, import the abnormal pathological data, and perform simulation operations on the abnormal pathological data; The evaluation and prediction module is used to evaluate the development trend of the pathological data after modeling and simulation, and predict the possible hazards brought by the pathological data.

[0019] As Figure 4 shown in the figure, the pathological database includes a pathological sample module, a sample error correction module, and a sample update module; The pathological sample module is used to store the historical collected pathological sample images and numerical data, and provide the necessary basic data for artificial intelligence diagnosis and treatment; The sample error correction module is used to promptly correct the errors and deficiencies in the pathological samples in the case database to ensure the scientific nature of the pathological samples; The sample update module is used to collect new pathological sample data, and connect to the network to import the new data in the external database to realize the data update of the pathological database.

[0020] As Figure 5 shown in the figure, the diagnosis and treatment decision-making module includes a conclusion decision-making module, a treatment plan guidance module, and a diagnosis and treatment expectation module; The conclusion decision-making module is used to scientifically and accurately diagnose the pathological data after modeling and analysis, and give corresponding diagnosis and treatment conclusions; The treatment plan guidance module is used to provide treatment plans corresponding to the diagnosis and treatment conclusions to assist medical staff in timely diagnosis and treatment; The diagnosis and treatment expectation module is used to analyze the existing treatment results of the diagnosis and treatment conclusions, and calculate the diagnosis and treatment status after the implementation of the treatment plan.

[0021] As Figure 6 shown in the figure, the medical staff terminal includes a doctor-patient interaction module and an intelligent interaction module; The doctor-patient interaction module is used to implement two-way interaction between medical staff and patients, ensuring the interconnection of medical data between both parties. The intelligent interaction module is used to implement two-way interaction between medical staff and the artificial intelligence diagnosis and treatment system, ensuring the interconnection of data between the system and medical staff.

[0022] A method for constructing an artificial intelligence-assisted diagnosis and treatment system of traditional Chinese medicine includes the following steps: S1: Obtain the original pathological data of patients through multiple channels to form a pathological data sample; S2: Preprocess the obtained pathological data sample to obtain directly usable pathological data and import it into the artificial diagnosis and treatment system; S3: Compare the obtained pathological data sample with the existing pathological data sample to screen out abnormal pathological data; S4: Model and analyze the abnormal pathological data, and predict and evaluate the development trend and harm degree of the pathological data; S5: Diagnose the pathological data to give a diagnosis conclusion and provide a corresponding treatment plan.

[0023] In the description of this specification, the description with reference to terms such as "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0024] The above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and all should be covered by the protection scope of the present invention.

Claims

1. A traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system, characterized in that, It includes: A patient inquiry terminal, an artificial intelligence diagnosis and treatment platform, a pathology database, a diagnosis and treatment decision-making module, and a medical staff terminal; The patient inquiry terminal is used to obtain the patient's own pathological data; Among them, the patient inquiry terminal includes a tongue and face image detection module and a pulse condition detection module; The tongue and face image detection module is used to perform feature analysis on the user's face and tongue coating images to obtain the tongue and face image detection results; The pulse condition detection module is used to perform feature analysis on the user's pulse condition to obtain the pulse condition detection results; The artificial intelligence diagnosis and treatment platform is used to model and analyze the patient's pathological data and conduct evaluation and prediction; The pathology database is used to provide pathological samples for pathological comparison; The diagnosis and treatment decision-making module is used to diagnose the patient's pathology to obtain a diagnosis and treatment conclusion and give a targeted diagnosis and treatment plan; The medical staff terminal is used to realize the interaction among medical staff, patients, and the artificial intelligence system.

2. The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system according to claim 1, wherein, The tongue and face image detection module includes a camera, a face recognition unit, and a tongue coating recognition unit; The camera is used to collect face images or tongue coating images and send them to the face recognition unit and the tongue coating recognition unit respectively; The face recognition unit and the tongue coating recognition unit are respectively used to perform feature analysis on the face image and the tongue coating image, and send the face feature analysis result and the tongue coating feature analysis result to the artificial intelligence diagnosis and treatment platform respectively.

3. The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system according to claim 1, characterized in that, The pulse condition detection module includes a pulse diagnosis unit and a pulse condition processing unit; The pulse diagnosis unit is used to collect the user's pulse condition data and send the collected data to the pulse condition processing unit; The pulse condition processing unit is used to perform feature analysis on the pulse condition data collected by the pulse diagnosis unit and further send the pulse condition analysis result to the artificial intelligence diagnosis and treatment platform.

4. The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system according to claim 1, wherein, The artificial intelligence diagnosis and treatment platform includes a data processing module, a matching and comparison module, a modeling and analysis module, and an evaluation and prediction module; The data processing module is used to classify, delete, and sort out the obtained comprehensive patient pathological data to ensure the consistency of the patient's pathological data; The matching and comparison module is used to compare the processed pathological data with the pathological samples in the pathology database for intelligent image and numerical comparison to obtain abnormal pathological data; The modeling and analysis module is used to establish a virtual model that conforms to the patient's physiological state, import the abnormal pathological data, and perform simulation operations on the abnormal pathological data; The evaluation and prediction module is used to evaluate the development trend of the pathological data after modeling and simulation and predict the possible hazards brought by the pathological data.

5. The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system according to claim 1, characterized in that The pathology database includes a pathological sample module, a sample error correction module, and a sample update module; The pathological sample module is used to store the historical collected pathological sample images and numerical data and provide the necessary basic data for artificial intelligence diagnosis and treatment; The sample error correction module is used to timely correct the errors and deficiencies in the pathological samples in the case database to ensure the scientificity of the pathological samples; The sample update module is used to collect new pathological sample data and import the new data in the external database through the network to realize the data update of the pathology database.

6. The traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system according to claim 1, characterized in that, The diagnosis and treatment decision-making module includes a conclusion decision-making module, a plan guidance module, and a diagnosis and treatment expectation module; The conclusion decision-making module is used to scientifically and accurately diagnose the pathological data after modeling and analysis, and give corresponding diagnosis and treatment conclusions; The solution guidance module is used to provide a diagnosis and treatment plan corresponding to the diagnosis and treatment conclusion to assist medical staff in timely diagnosis and treatment; The diagnosis and treatment expectation module is used to analyze the existing treatment results of the diagnosis and treatment conclusion and calculate the diagnosis and treatment status after the implementation of the diagnosis and treatment plan.

7. The TCM artificial intelligence-assisted diagnosis and treatment system according to claim 1, characterized in that, The medical staff terminal includes a doctor-patient interaction module and an intelligent interaction module; The doctor-patient interaction module is used to realize two-way interaction between medical staff and patients to ensure the interconnection of data between both parties in medical treatment; The intelligent interaction module is used to realize two-way interaction between medical staff and the artificial intelligence diagnosis and treatment system to ensure the interconnection of data between the system and medical staff.

8. A construction method of a traditional Chinese medicine artificial intelligence-assisted diagnosis and treatment system, characterized in that, It includes the following steps: S1: Obtain the original pathological data of the patient through multiple channels to form a pathological data sample; S2: Preprocess the obtained pathological data sample to obtain directly usable pathological data and import it into the artificial diagnosis and treatment system; S3: Compare the obtained pathological data sample with the existing pathological data sample, and screen out abnormal pathological data; S4: Model and analyze the abnormal pathological data, and predict and evaluate the development trend and harm degree of the pathological data; S5: Diagnose the pathological data to give a diagnosis and treatment conclusion and provide a corresponding diagnosis and treatment plan.

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