Abstract

Asthma, a prevalent chronic respiratory disease, impacts patients' quality of life. Traditional acupuncture therapy is effective but lacks personalization. This paper introduces AI technology into acupuncture treatment, proposing an intelligent assistance system. The system uses patients' physiological and imaging data to construct an intelligent diagnostic model, accurately identifying conditions and symptom types. Through reinforcement learning optimization algorithms, personalized acupuncture plans are tailored for each patient. Clinical trials show that AI-assisted acupuncture significantly improves symptom scores, lung function, and reduces attack frequency, enhancing clinical efficacy and serving as a valuable tool for traditional Chinese medicine acupuncture training.

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