Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework

Ying He; Qian Wen; Ying Wang; Juan Li; Ning Li; Rongjiang Jin; Nian Li; Yonggang Zhang

doi:10.1155/2022/9680203

Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework

Evid Based Complement Alternat Med. 2022 Jun 2:2022:9680203. doi: 10.1155/2022/9680203. eCollection 2022.

Authors

Ying He¹, Qian Wen¹, Ying Wang², Juan Li³, Ning Li¹, Rongjiang Jin³, Nian Li², Yonggang Zhang^{4

5}

Affiliations

¹ Department of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
² Department of Medical Administration, West China Hospital, Sichuan University, Chengdu, China.
³ School of Health Preservation and Rehabilitation, Traditional Chinese Medicine of Chengdu University, Chengdu, Sichuan, China.
⁴ Department of Periodical Press, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
⁵ Department of Evidence-based Medicine and Clinical Epidemiology, West China Hospital, Sichuan University, Chengdu, China.

Abstract

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.