Abstract

Despite artificial intelligence (AI) technology progresses at unprecedented rate, our ability to translate these advancements into clinical value and adoption at the bedside remains comparatively limited. This paper reviews the current use of implementation outcomes in randomized controlled trials evaluating AI-based clinical decision support and found limited adoption. To advance trust and clinical adoption of AI, there is a need to bridge the gap between traditional quantitative metrics and implementation outcomes to better grasp the reasons behind the success or failure of AI systems and improve their translation into clinical value.

Details

Title
To warrant clinical adoption AI models require a multi-faceted implementation evaluation
Author
van de Sande, Davy 1   VIAFID ORCID Logo  ; Chung, Eline Fung Fen 1 ; Oosterhoff, Jacobien 2 ; van Bommel, Jasper 1 ; Gommers, Diederik 1 ; van Genderen, Michel E. 1   VIAFID ORCID Logo 

1  Department of Adult Intensive Care, Erasmus MC University Medical Center, Rotterdam, The Netherlands (GRID:grid.5645.2) (ISNI:0000 0004 0459 992X) 
2  Policy and Management, Delft University of Technology, Faculty of Technology, Delft, The Netherlands (GRID:grid.5292.c) (ISNI:0000 0001 2097 4740) 
Pages
58
Publication year
2024
Publication date
Dec 2024
Publisher
Nature Publishing Group
e-ISSN
23986352
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41746-024-01064-1
ProQuest document ID
2938144840
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.