Personalized traditional Chinese medicine health-care intelligent recommendation system combined with acupuncture theory

By combining multimodal data acquisition with a deep learning model based on acupuncture meridian theory, personalized acupuncture and wellness programs are generated. Reinforcement learning algorithms are then used for dynamic optimization, which solves the problems of traditional acupuncture and wellness relying on experience, lack of personalization, and high operational threshold, thus achieving intelligent and personalized acupuncture and wellness effects.

CN121709145APending Publication Date: 2026-03-20YANTAI BAICUI TRADING CO LTD
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Patent Information

Application Number
CN202511871514.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-12
Publication Date
2026-03-20

AI Technical Summary

Technical Problem

Traditional acupuncture and health care relies on the experience of physicians, has a low degree of personalization, lacks dynamic adjustment mechanisms, and has a high operational threshold. Existing AI TCM systems have failed to effectively integrate multimodal health information and the deep correlation between acupoints, constitution, and symptoms, and thus cannot achieve personalization and dynamic optimization.

Method used

It employs a multimodal data acquisition module, combined with a deep learning model of acupuncture meridian theory, to generate personalized acupuncture health care plans. These plans are then dynamically optimized using a Q-learning reinforcement learning algorithm. The health data is executed and stored encrypted using smart devices, and supports AR real-scene positioning and multi-channel feedback.

Benefits of technology

It realizes the intelligent, personalized and dynamic nature of acupuncture and health care, improves the accuracy and operability of health care programs, is applicable to various scenarios such as families and communities, simplifies the operation process and improves the health care effect.

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Abstract

The invention relates to a personalized traditional Chinese medicine health-care intelligent recommendation system combined with an acupuncture theory. The system comprises a multi-modal data acquisition module, an AI diagnosis module and an acupuncture scheme generation module. According to the invention, the health information of the user is acquired through the multi-modal data acquisition module, the deep learning model fused with the acupuncture meridian theory is utilized to realize physique identification and disease diagnosis, and the personalized acupuncture health care scheme is generated based on the established acupuncture point, physique and disease three-dimensional association database. A reinforcement learning algorithm is combined with a user real-time feedback dynamic optimization scheme, the limitation that traditional acupuncture depends on physician experience is broken through, intelligentization, individuation and dynamics of acupuncture health care are achieved, the accuracy and operability of the health care scheme are improved, and the method is suitable for various scenes such as family health care and community medical treatment and has a wide application prospect. The method has remarkable innovativeness and practicability, the physique and the disease of the user are accurately identified based on multi-modal data, the acupuncture scheme adaptive to personal characteristics is generated, and the problem that a traditional universal scheme is insufficient in adaptability is solved.
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