UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

[thumbnail of Denniston_Vasey-et-al-2021-DECIDE-AI.pdf]
Preview
 Text
Denniston_Vasey-et-al-2021-DECIDE-AI.pdf
Download (118kB) | Preview

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
Downloads since deposit
86Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item