Traditional Chinese medicine cross-language auxiliary system based on artificial intelligence
By designing a cross-language assistance system for traditional Chinese medicine based on artificial intelligence, the problems of cross-language communication disorders, insufficient physical parameter collection and low intelligence level in traditional Chinese medicine diagnosis and treatment have been solved, and efficient and accurate traditional Chinese medicine diagnosis and treatment support have been achieved.
Patent Information
- Application Number
- CN202411968420.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-30
- Publication Date
- 2025-04-22
AI Technical Summary
There are problems such as cross-language communication disorders, insufficient physical parameter collection and low intelligence level in traditional Chinese medicine diagnosis and treatment, which makes it difficult to efficiently meet the needs of multilingual patients and limits the modernization and precise development of traditional Chinese medicine.
Design a cross-language assistance system for traditional Chinese medicine based on artificial intelligence, including multilingual real-time translation module, body parameter acquisition module, intelligent diagnostic and analysis module and data interaction module, and perform data analysis and diagnostic suggestions through deep learning models and traditional Chinese medicine knowledge base to realize language translation, diagnostic data acquisition and intelligent analysis.
Real-time and multilingual Chinese medicine diagnosis communication is realized, and the patient's key physical parameters are automatically collected and analyzed, providing scientific basis for diagnosis, providing auxiliary diagnostic suggestions through intelligent algorithms, enhancing doctors' decision-making capabilities, and improving diagnosis and treatment efficiency and accuracy.
Smart Images

Figure CN119864129A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of medical auxiliary equipment and artificial intelligence technology, and in particular to a cross-language auxiliary system of traditional Chinese medicine based on artificial intelligence. Background Art
[0002] With the popularity of TCM around the world, TCM diagnosis and treatment are gradually facing language communication barriers and insufficient intelligence in the diagnostic process. Existing medical auxiliary equipment is mostly concentrated in the field of Western medicine, while there are few auxiliary equipment tailored to the characteristics of TCM.
[0003] In the international medical scenario, traditional Chinese medicine diagnosis is difficult to efficiently meet the needs of multilingual patients due to language barriers and limitations of data processing technology. At the same time, the traditional methods of Chinese medicine diagnosis lack effective tools for the dynamic collection and analysis of body parameters, which limits the modernization and precision development of Chinese medicine. Existing medical auxiliary equipment mostly focuses on the field of Western medicine, and there is still a lack of intelligent auxiliary equipment for the characteristics of Chinese medicine diagnosis and treatment.
[0004] The traditional method of "looking, smelling, asking, and palpating" in TCM diagnosis requires a lot of subjective judgment, and there is a lack of real-time translation tools in cross-language diagnosis and treatment scenarios, which limits effective communication between patients and doctors. In addition, diagnostic data is scattered across different devices or is not collected systematically, which limits the international development of TCM. Therefore, there is an urgent need for an intelligent, portable TCM auxiliary device that can achieve language translation, diagnostic data collection, intelligent analysis, and remote collaboration. Summary of the invention
[0005] The present invention aims to solve the problems of cross-language communication barriers, insufficient collection of physical parameters and low intelligence level in TCM diagnosis and treatment, and to provide a TCM cross-language auxiliary system based on artificial intelligence to provide more efficient diagnosis and treatment support for doctors and patients.
[0006] The present invention is implemented by adopting the following technical scheme: a cross-language auxiliary system of traditional Chinese medicine based on artificial intelligence, comprising: Multi-language real-time translation module, which supports multi-language voice and text input and output, and is optimized for TCM terminology and cultural context, to achieve real-time language conversion between doctors and patients; The body parameter acquisition module integrates multiple sensors to obtain the user's physiological parameter information; The intelligent diagnosis and analysis module combines the TCM knowledge base and deep learning model to analyze the collected physiological parameter information and user description information, and generate TCM syndrome differentiation and diagnosis suggestions; The data interaction module is used to interact and share data with external devices.
[0007] Furthermore, it also includes a data storage and cloud connection module, which is used for local data storage and data synchronization and backup with a remote cloud in an encrypted manner.
[0008] Furthermore, the multilingual real-time translation module uses a deep learning algorithm to optimize the translation accuracy of TCM terminology and supports automatic speech-to-text conversion for conversations between patients and doctors.
[0009] Furthermore, the body parameter acquisition module integrates an optical sensor, a temperature sensor and a conductivity sensor, performs pulse wave detection through the optical sensor, collects body surface temperature through the temperature sensor, and measures the user's skin conductivity in combination with the conductivity sensor to assist doctors in diagnostic analysis.
[0010] Furthermore, the intelligent diagnosis and analysis module is based on the traditional Chinese medicine knowledge base, uses a deep learning model to perform data analysis, and provides personalized diagnostic suggestions based on the patient's constitution to assist doctors in decision-making.
[0011] Furthermore, the data interaction module is connected to a smart phone, a tablet computer or an external medical device via Bluetooth to achieve multi-scenario data sharing and real-time display.
[0012] Furthermore, it is characterized in that the language assistance system is arranged in a portable auxiliary device.
[0013] Furthermore, the portable auxiliary device is provided with a hidden button, and the hidden button is connected to the language auxiliary system.
[0014] Furthermore, the portable auxiliary device is also provided with a vacuum adsorption device.
[0015] Furthermore, the portable auxiliary device is also provided with a magnetic suction device.
[0016] The beneficial effects of the present invention are: 1. Realize real-time, multi-language TCM diagnosis and communication, and improve the efficiency of diagnosis and treatment in cross-language scenarios.
[0017] 2. Automatically collect and analyze the patient's key physical parameters to provide a scientific basis for diagnosis.
[0018] 3. Provide auxiliary diagnosis suggestions through intelligent algorithms to enhance doctors' decision-making capabilities.
[0019] 4. The device is light and portable, adaptable to a variety of usage scenarios, and improves the user experience of patients and doctors. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the structures shown in these drawings without paying creative work.
[0021] Figure 1 is a system block diagram of the present invention; Figure 2 It is a schematic diagram of the structure of the portable auxiliary device; In the figure, 1-language assistance system, 2-portable auxiliary equipment, 3-vacuum adsorption device, 4-hidden button, 5-magnetic device. DETAILED DESCRIPTION
[0022] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.
[0023] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.
[0024] Some embodiments of the present invention are described in detail below in conjunction with the accompanying drawings. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.
[0025] See also Figure 1 , a cross-language auxiliary system of traditional Chinese medicine based on artificial intelligence, including: Multi-language real-time translation module, which supports multi-language voice and text input and output, and is optimized for TCM terminology and cultural context, to achieve real-time language conversion between doctors and patients; The body parameter acquisition module integrates multiple sensors to obtain the user's physiological parameter information; The intelligent diagnosis and analysis module combines the TCM knowledge base and deep learning model to analyze the collected physiological parameter information and user description information, and generate TCM syndrome differentiation and diagnosis suggestions; Data interaction module, used for data interaction and sharing with external devices; The data storage and cloud connection module is used for local data storage, and synchronizes and backs up data with the remote cloud in an encrypted manner. The data storage and cloud connection module uses AES-256 encryption technology to ensure the security of local data and cloud synchronization data, and meet medical data privacy protection standards.
[0026] In this embodiment, the multilingual natural language processing model built into the multilingual real-time translation module uses a deep learning algorithm to optimize the translation accuracy of TCM professional terms, and supports the automatic voice-to-text function of the patient's dialogue with the doctor. The user inputs the symptom description by voice, and uses the built-in multilingual natural language processing model to convert the voice into the target language text in real time, and display or broadcast the translation result by voice. At the same time, the model optimized for TCM terms is adopted to make the translation more professional and accurate. Specifically, TCM medical corpus can be obtained from different channels, and the main method of obtaining corpus includes: crawling different language versions of TCM medical knowledge from the Internet, obtaining bilingual versions related to TCM from hospitals, existing TCM-related data sets, and translating medical corpus in existing languages into the target language. The corpus form mainly includes chapters and sentences, and the chapters need to be converted into sentence forms, and the subsequent processing steps are performed based on the sentence forms. At the same time, multilingual translation technology (such as: Ali open source library FastJSon, Baidu machine translation engine, multilingual translation terminology library (TCM terminology translation comparison standard, TCM terminology translation comparison dictionary), ViewModel, etc.) is used to realize barrier-free dialogue between patients and doctors.
[0027] In this embodiment, the body parameter acquisition module integrates an optical sensor, a temperature sensor and a conductivity sensor, detects pulse waves through the optical sensor, collects body surface temperature through the temperature sensor, and measures the user's skin conductivity in combination with the conductivity sensor to assist doctors in diagnosis and analysis. The user can lightly place a finger on the sensing area of the device, the optical sensor collects pulse waves, the temperature sensor detects body temperature, and the conductivity sensor measures skin conductivity, and then transmits the data to the built-in intelligent diagnosis and analysis module of the device, which is combined with the traditional Chinese medicine knowledge base to generate a syndrome differentiation result.
[0028] In this embodiment, the intelligent diagnosis and analysis module is based on the Chinese medicine knowledge base, uses a deep learning model to perform data analysis, and provides personalized diagnostic suggestions for the patient's physique to assist doctors in making decisions. The deep learning model includes but is not limited to common convolutional neural network algorithms, BP neural network algorithms, and probabilistic neural network algorithms; new neural network layers can be added to the input and output ends of the above-mentioned deep neural network to optimize the established trained model. It can be understood that in the established model to be trained, one neural network algorithm can be used, or several neural network algorithms can be used, and of course, several small neural network subsystems can be used in a large neural network system. Then, in the model established by the deep neural network algorithm, the training data includes disease information in four aspects of inspection, smelling, questioning, and palpation of the patient. It can be understood that the patient's disease data can be disease information in one aspect of the patient's disease, or it can be information on several aspects of the patient's disease. At this time, the model established according to the deep neural network algorithm will give a corresponding diagnosis result based on the disease information provided by the patient. Furthermore, the disease data corresponding to the patient's verified diagnosis results can be used to optimize the established trained model, so that the diagnosis results of the established trained model are more accurate and can better diagnose the patient's disease.
[0029] In this embodiment, the data interaction module is connected to a smartphone, tablet computer or external medical device via Bluetooth to achieve multi-scenario data sharing and real-time display. Through Bluetooth connection to the doctor's smart terminal, the doctor can remotely view the patient's physical parameters, diagnostic data and system recommendations, and the patient's diagnostic results can be encrypted and synchronized to the cloud for subsequent analysis by the doctor.
[0030] See also Figure 2 The present invention also provides a portable auxiliary device, in which the above-mentioned language assistance system is integrated, and the language assistance system 1 is arranged in the portable auxiliary device 2. The portable auxiliary device 2 is square in shape as a whole, with a size of 4 cm x 4 cm and a thickness of 5-7 mm. A hidden button 4 is arranged on it, and it is integrated with the body to keep the appearance simple and beautiful. The language assistance system 1 can be turned on and off by the hidden button 4; the portable auxiliary device 2 is also provided with a magnetic suction device 5 and a vacuum suction device 3, and the device is fixed to a metal surface, a glass surface or a desktop by the magnetic suction device 5 and the vacuum suction device 3, and its stability is ensured, which is convenient for fixed use. In addition, the frame of the device is made of anodized aluminum alloy, and the surface is made of frosted polycarbonate, which is light and durable.
[0031] The present invention provides efficient auxiliary support for TCM diagnosis through its lightweight and portable design, multi-language real-time translation and intelligent diagnostic analysis functions, solving the problems of cross-language communication and diagnostic data integration. The device does not directly perform medical treatment, but improves the efficiency and accuracy of TCM diagnosis and treatment by assisting doctors in diagnosis and communication.
[0032] For the aforementioned embodiments, for the sake of simplicity, they are all described as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the order of the actions described, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are preferred embodiments, and the actions involved are not necessarily required by the present application.
[0033] The above embodiments describe the basic principles and main features of the present invention and the advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the changes and modifications made by those skilled in the art shall be within the scope of protection of the appended claims of the present invention without departing from the spirit and scope of the present invention.
Claims
1. A cross-language auxiliary system for traditional Chinese medicine based on artificial intelligence, characterized in that: include: Multi-language real-time translation module, which supports multi-language voice and text input and output, and is optimized for TCM terminology and cultural context, to achieve real-time language conversion between doctors and patients; The body parameter acquisition module integrates multiple sensors to obtain the user's physiological parameter information; The intelligent diagnosis and analysis module combines the TCM knowledge base and deep learning model to analyze the collected physiological parameter information and user description information, and generate TCM syndrome differentiation and diagnosis suggestions; The data interaction module is used to interact and share data with external devices.
2. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine according to claim 1, characterized in that: It also includes a data storage and cloud connection module, which is used for local data storage and data synchronization and backup with a remote cloud in an encrypted manner.
3. The artificial intelligence-based cross-language Chinese medicine auxiliary system according to claim 2, characterized in that: The multi-language real-time translation module uses a deep learning algorithm to optimize the translation accuracy of TCM terminology and supports automatic speech-to-text conversion for conversations between patients and doctors.
4. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine as claimed in claim 3, characterized in that: The body parameter acquisition module integrates an optical sensor, a temperature sensor and a conductivity sensor. It detects pulse waves through the optical sensor, collects body surface temperature through the temperature sensor, and measures the user's skin conductivity in combination with the conductivity sensor to assist doctors in diagnostic analysis.
5. The artificial intelligence-based cross-language Chinese medicine auxiliary system according to claim 4, characterized in that: The intelligent diagnosis and analysis module is based on the traditional Chinese medicine knowledge base, uses a deep learning model to analyze data, and provides personalized diagnostic suggestions based on the patient's constitution to assist doctors in decision-making.
6. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine according to claim 5, characterized in that: The data interaction module is connected to a smart phone, tablet computer or external medical device via Bluetooth to achieve multi-scenario data sharing and real-time display.
7. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine according to any one of claims 1 to 6, characterized in that: The language assistance system (1) is arranged in a portable assistance device (2).
8. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine according to claim 7, characterized in that: The portable auxiliary device (2) is provided with a hidden button (4), and the hidden button (4) is connected to the language auxiliary system (1).
9. The artificial intelligence-based cross-language auxiliary system for traditional Chinese medicine as claimed in claim 8, characterized in that: The portable auxiliary device (2) is also provided with a vacuum adsorption device (3).
10. The artificial intelligence-based cross-language Chinese medicine auxiliary system according to claim 9, characterized in that: The portable auxiliary device (2) is also provided with a magnetic attraction device (5).
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