To warrant clinical adoption AI models require a multi-faceted implementation evaluation

Davy van de Sande, Eline Fung Fen Chung, Jacobien Oosterhoff, Jasper van Bommel, Diederik Gommers, Michel E. van Genderen*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

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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.
Original languageEnglish
Article number58
Number of pages5
Journalnpj Digital Medicine
Volume7
Issue number1
DOIs
Publication statusPublished - Dec 2024

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