Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review

BackgroundThe 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. ObjectiveWe performed this study to assess the quality of guidelines, consensus statem...

Full description

Saved in:
Bibliographic Details
Main Authors: Ying Wang (Author), Nian Li (Author), Lingmin Chen (Author), Miaomiao Wu (Author), Sha Meng (Author), Zelei Dai (Author), Yonggang Zhang (Author), Mike Clarke (Author)
Format: Book
Published: JMIR Publications, 2023-11-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_e1d2ac89dd1d417988d4741d68db2adb
042 |a dc 
100 1 0 |a Ying Wang  |e author 
700 1 0 |a Nian Li  |e author 
700 1 0 |a Lingmin Chen  |e author 
700 1 0 |a Miaomiao Wu  |e author 
700 1 0 |a Sha Meng  |e author 
700 1 0 |a Zelei Dai  |e author 
700 1 0 |a Yonggang Zhang  |e author 
700 1 0 |a Mike Clarke  |e author 
245 0 0 |a Guidelines, Consensus Statements, and Standards for the Use of Artificial Intelligence in Medicine: Systematic Review 
260 |b JMIR Publications,   |c 2023-11-01T00:00:00Z. 
500 |a 1438-8871 
500 |a 10.2196/46089 
520 |a BackgroundThe 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. ObjectiveWe 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. MethodsWe 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. ResultsThis 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%). ConclusionsThe 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 RegistrationPROSPERO International Prospective Register of Systematic Reviews (CRD42022321360); https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=321360 
546 |a EN 
690 |a Computer applications to medicine. Medical informatics 
690 |a R858-859.7 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Journal of Medical Internet Research, Vol 25, p e46089 (2023) 
787 0 |n https://www.jmir.org/2023/1/e46089 
787 0 |n https://doaj.org/toc/1438-8871 
856 4 1 |u https://doaj.org/article/e1d2ac89dd1d417988d4741d68db2adb  |z Connect to this object online.