Hu Xinyin, Gu Yinger, Lee Hye Won, Chen Xiaoteng, Li Ying, Li Xinyue, Zhao Qiaoping, Wang Wei, Huang Haifeng, Wang Lisi, Xia Nv, Wu Wenjie, Lou Lingling, Yang Pingchun, Ren Ke, Guo Jinglu, Wang Cheng, Fan Longlong, Yao Zheng, You Guomei, Zhou Jue, Wang Fangfang, Qu Fan
Department of Traditional Chinese Medicine, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
KM Convergence Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Integr Med Res. 2025 Dec;14(4):101219. doi: 10.1016/j.imr.2025.101219. Epub 2025 Aug 6.
Traditional Chinese medicine (TCM) plays an indispensable role in the healthcare system. Artificial intelligence (AI) opens a new pathway for TCM modernization, while also addressing critical healthcare challenges. The present national survey was conducted to assess the attitudes and perceptions of individuals with health needs regarding the integration of TCM with AI.
A cross-sectional national survey was conducted at 13 medical institutions across China. A structured, self-reported questionnaire was administered to 2587 individuals with health needs, including patients seeking TCM/Western medical treatment and individuals undergoing routine physical examinations, between June 27th and July 11th, 2025.
A total of 1641 (63.4 %) respondents were familiar with the TCM-AI equipment, and 61.7 % respondents were willing to try TCM diagnosis and treatment services combined with AI. 43.5 % respondents trusted the diagnosis results provided by the TCM-AI equipment. In the subgroup analysis, respondents aged 18-34, with a bachelor's degree or associate's degree as their educational background, and working as employees of state organs, showed greater acceptance and trust towards the integration of TCM and AI ( < 0.005). The top three most promising applications were the intelligent syndrome differentiation system (46.9 %), TCM four diagnostic instruments (39.9 %), and intelligent TCM formula (39.0 %).
The integration of TCM and AI demonstrates promising acceptance among health-seeking individuals in China, with younger and educated populations who have health demands for TCM showing particularly high trust, and intelligent syndrome differentiation systems highlight a clear pathway for AI to modernize TCM practice by augmenting diagnostic accuracy and treatment personalization.
中医药在医疗保健系统中发挥着不可或缺的作用。人工智能为中医药现代化开辟了一条新途径,同时也应对了关键的医疗保健挑战。本次全国性调查旨在评估有健康需求的个人对中医药与人工智能整合的态度和看法。
在中国13家医疗机构进行了一项横断面全国性调查。2025年6月27日至7月11日期间,对2587名有健康需求的个人进行了结构化的自填问卷调查,这些人包括寻求中医/西医治疗的患者和接受常规体检的个人。
共有1641名(63.4%)受访者熟悉中医人工智能设备,61.7%的受访者愿意尝试结合人工智能的中医诊断和治疗服务。43.5%的受访者信任中医人工智能设备提供的诊断结果。在亚组分析中,年龄在18-34岁、教育背景为本科或大专、为国机关工作人员的受访者对中医药与人工智能的整合表现出更高的接受度和信任度(<0.005)。最具前景的三大应用是智能辨证系统(46.9%)、中医四诊仪器(39.9%)和智能中药方剂(39.0%)。
中医药与人工智能的整合在中国有健康需求的人群中显示出有前景的接受度,对中医药有健康需求的年轻且受过教育的人群表现出特别高的信任度,智能辨证系统通过提高诊断准确性和治疗个性化,为人工智能使中医实践现代化凸显了一条清晰的途径。