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

作者：Davy van de Sande, Eline Fung Fen Chung, Jacobien H. F. Oosterhoff, Jasper van Bommel, Diederik A M P J Gommers, Michel Egide van Genderen · 发表于：npj Digital Medicine · 年份：2024 · DOI：10.1038/s41746-024-01064-1 · 被引用次数：63 · 研究领域：Health Systems, Economic Evaluations, Quality of Life、Artificial Intelligence in Healthcare and Education、Health Policy Implementation Science

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.