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

Authors :
He, Ying
Wen, Qian
Wang, Ying
Li, Juan
Li, Ning
Jin, Rongjiang
Li, Nian
Zhang, Yonggang
Source :
Evidence-based Complementary & Alternative Medicine (eCAM); 6/2/2022, p1-6, 6p, 1 Diagram
Publication Year :
2022

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1741427X
Database :
Complementary Index
Journal :
Evidence-based Complementary & Alternative Medicine (eCAM)
Publication Type :
Academic Journal
Accession number :
157216471
Full Text :
https://doi.org/10.1155/2022/9680203