DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

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DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

The DECIDE-AI Steering Group; (2021) DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence. Nature Medicine , 27 (2) pp. 186-187. 10.1038/s41591-021-01229-5. Green open access

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Abstract

As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and early-stage clinical evaluation is needed.

Type:	Article
Title:	DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
Location:	United States
Open access status:	An open access version is available from UCL Discovery
DOI:	10.1038/s41591-021-01229-5
Publisher version:	https://doi.org/10.1038/s41591-021-01229-5
Language:	English
Keywords:	Clinical trials, Publication characteristics, Translational research
UCL classification:	UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
URI:	https://discovery.ucl.ac.uk/id/eprint/10174074