Artificial Intelligence Should Genuinely Support Clinical Reasoning and Decision Making To Bridge the Translational Gap
This addresses the problem of ineffective AI integration in clinical practice for doctors and patients, offering a foundational shift in approach.
The paper tackles the limited impact of AI in medicine due to a translational gap, proposing a sociotechnical conceptualisation of support tools that complement clinical reasoning rather than focusing on superhuman benchmarks.
Artificial intelligence promises to revolutionise medicine, yet its impact remains limited because of the pervasive translational gap. We posit that the prevailing technology-centric approaches underpin this challenge, rendering such systems fundamentally incompatible with clinical practice, specifically diagnostic reasoning and decision making. Instead, we propose a novel sociotechnical conceptualisation of data-driven support tools designed to complement doctors' cognitive and epistemic activities. Crucially, it prioritises real-world impact over superhuman performance on inconsequential benchmarks.