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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 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/displayᵣecord. php? RecordID=321360.
Wang et al. (Wed,) studied this question.