Can generative AI serve as a transformative educational tool for facial observation training in traditional Chinese medicine? An exploratory study

This study investigates the role of Generative Artificial Intelligence (AI) in supporting educational tools for facial observation (望诊, Wàng zhěn), a diagnostic method in Traditional Chinese Medicine (TCM). Rooted in classical texts such as Huangdi Neijing (黄帝内经), the research focuses on creating AI-generated imagery to complement educational resources. These visual tools enrich learning materials, improve accessibility for diverse populations, and address gaps in traditional training methods, enhancing students' ability to understand and recognize diagnostic markers.