| 刊名 | Medicinal Plant |
| 作者 | Xijingyi XIAO, Hang CHE, Qingjiu GE, Yingying JIANG, Jiayi TAN, Xiaochao GANG |
| 作者单位 | Changchun University of Chinese Medicine, Changchun 130117, China |
| DOI | DOI:10.19600/j.cnki.issn2152-3924.2026.02.017 |
| 年份 | 2026 |
| 刊期 | 2 |
| 页码 | 75-77，86 |
| 关键词 | Artificial intelligence, Constitution identification, Personalization, Health management |
| 摘要 | This review systematically summarizes the research progress in AI-based constitution identification and personalized health management, encompassing mobile terminal image acquisition, tongue and facial feature recognition, multimodal fusion, and intelligent intervention strategies. Current systems have preliminarily achieved a "identification-intervention-feedback" closed loop; however, they still face challenges such as inconsistent data quality, poor model interpretability, and a lack of clinical validation. Future efforts should focus on constructing high-quality multimodal databases, enhancing algorithmic transparency, conducting randomized controlled trials, and integrating 5G and AR technologies to advance the precision and universality of TCM intelligent health management. |
