南京中医药大学副教授朱垚在接受专访时指出，人工智能在中医临床、教学、科研及传承领域的应用是必然趋势。1 其团队已研发中医临床辅助决策系统逾十年，旨在降低年轻医师误诊率并提升确诊率。1 此外，团队开发的“十三证素体质辨识系统”可为民众推荐药膳、保健功法及预防方案。1
通过舌诊、面诊等设备，该系统将“湿气重”等传统定性描述转化为精确数值（如80%或50%），利用大数据和深度学习技术实现诊断的量化。1 同时，团队构建了全中国第一个中医药智慧辅助教学系统，能将原本3个月的课程压缩至1个月。1
朱垚预判，未来10至20年内，人类医生结合科学家与AI有望治愈大多数慢性病，但急诊救治仍将依赖人工操作。1
Zhu Yao, an associate professor at the Nanjing University of Chinese Medicine, stated in a recent interview that integrating artificial intelligence into clinical practice, education, research, and heritage preservation is an inevitable trend for traditional Chinese medicine 1. Speaking from Shanghai on October 28, 2024, Zhu explained how his team has spent over a decade developing AI-assisted decision-making systems aimed at reducing misdiagnosis rates among junior physicians while improving overall diagnostic accuracy 1.
The technology leverages big data and deep learning to convert qualitative traditional diagnoses into precise quantitative metrics. For instance, devices analyzing tongue and facial features can translate vague descriptions like "excessive dampness" into specific numerical values such as 80% or 50% 1. Beyond clinical tools, the team created the "Thirteen Constitution Identification System," which recommends medicinal diets, health exercises, and preventive measures to the public 1. In the educational sector, China’s first smart-assisted teaching system for Chinese medicine has successfully compressed courses that originally took three months into just one month 1.
Looking ahead, Zhu predicted that within the next 10 to 20 years, the collaboration between human doctors, scientists, and AI could cure most chronic diseases 1. However, he noted that emergency medical care will still rely on human intervention rather than automated systems 1.
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