He Ying, Wen Qian, Wang Ying, Li Juan, Li Ning, Jin Rongjiang, Li Nian, Zhang Yonggang
Department of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Department of Medical Administration, West China Hospital, Sichuan University, Chengdu, China.
Evid Based Complement Alternat Med. 2022 Jun 2;2022:9680203. doi: 10.1155/2022/9680203. eCollection 2022.
In this study, we reported a methodological framework for the development of a guideline for establishing a regulatory science system for supervising the application of artificial intelligence for traditional Chinese medicine (TCM). It introduced all of the key steps for developing the guideline as follows: the composition of the guideline expert groups, summary steps, agency, purpose, targeted population, writing, publishing, updating, dissemination, dynamic monitoring, and evaluation. The guideline will provide the basis for national authorities to effectively regulate artificial intelligence technology and enrich the supervisory system for TCM, and it will be of great significance to TCM.
在本研究中，我们报告了一个方法框架，用于制定一项关于建立监管科学体系以监督人工智能在中医领域应用的指南。它介绍了制定该指南的所有关键步骤如下：指南专家组的组成、总结步骤、机构、目的、目标人群、编写、发布、更新、传播、动态监测和评估。该指南将为国家当局有效监管人工智能技术提供依据，并丰富中医监管体系，对中医具有重要意义。
