@Article{info:doi/10.2196/46089,
author="Wang, Ying
and Li, Nian
and Chen, Lingmin
and Wu, Miaomiao
and Meng, Sha
and Dai, Zelei
and Zhang, Yonggang
and Clarke, Mike",
title="Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review",
journal="J Med Internet Res",
year="2023",
month="Nov",
day="22",
volume="25",
pages="e46089",
keywords="artificial intelligence; clinical practice; guidelines; consensus statements; standards; systematic review",
abstract="Background: The application of artificial intelligence (AI) in the delivery of health care is a promising area, and guidelines, consensus statements, and standards on AI regarding various topics have been developed. Objective: We performed this study to assess the quality of guidelines, consensus statements, and standards in the field of AI for medicine and to provide a foundation for recommendations about the future development of AI guidelines. Methods: We searched 7 electronic databases from database establishment to April 6, 2022, and screened articles involving AI guidelines, consensus statements, and standards for eligibility. The AGREE II (Appraisal of Guidelines for Research {\&} Evaluation II) and RIGHT (Reporting Items for Practice Guidelines in Healthcare) tools were used to assess the methodological and reporting quality of the included articles. Results: This systematic review included 19 guideline articles, 14 consensus statement articles, and 3 standard articles published between 2019 and 2022. Their content involved disease screening, diagnosis, and treatment; AI intervention trial reporting; AI imaging development and collaboration; AI data application; and AI ethics governance and applications. Our quality assessment revealed that the average overall AGREE II score was 4.0 (range 2.2-5.5; 7-point Likert scale) and the mean overall reporting rate of the RIGHT tool was 49.4{\%} (range 25.7{\%}-77.1{\%}). Conclusions: The results indicated important differences in the quality of different AI guidelines, consensus statements, and standards. We made recommendations for improving their methodological and reporting quality. Trial Registration: PROSPERO International Prospective Register of Systematic Reviews (CRD42022321360); https://www.crd.york.ac.uk/prospero/display{\_}record.php?RecordID=321360 ",
issn="1438-8871",
doi="10.2196/46089",
url="https://www.jmir.org/2023/1/e46089",
url="https://doi.org/10.2196/46089",
url="http://www.ncbi.nlm.nih.gov/pubmed/37991819"
}