Abstract
Herpes zoster is a skin disease caused by the varicella-zoster virus (VZV), primarily manifesting as painful skin rashes in localized areas. Traditional Chinese medicine has a long history of treating herpes zoster, and the integration of modern artificial intelligence (AI) technologies holds promise for further enhancing treatment efficacy. This study aims to construct an AI-based traditional Chinese medicine treatment plan by analyzing large-scale clinical data and traditional medical literature to establish individualized diagnostic models. The experimental results demonstrate that this method effectively shortens the disease course and reduces the incidence of complications. Additionally, the study reveals the mechanisms of action of various components of traditional Chinese medicine in treatment, providing a basis for further optimization of treatment plans. This innovative integration approach not only improves treatment precision but also offers a new paradigm for combined traditional and Western medicine treatment. This paper not only showcases the potential of AI in the field of traditional Chinese medicine but also provides new insights into the treatment of herpes zoster.
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