Researchers have introduced People-Centred Medical Image Analysis (PecMan), a new framework designed to improve the clinical adoption of AI diagnostic tools. PecMan addresses limitations in current AI systems by jointly optimizing diagnostic accuracy, fairness across patient populations, and workflow integration. The framework utilizes a dynamic gating mechanism to assign cases to AI, clinicians, or both, considering clinician workload constraints. A new benchmark, Fairness and Human-Centred AI (FairHAI), has also been developed to evaluate these trade-offs. AI
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IMPACT Presents a new framework and benchmark to improve AI adoption in clinical settings by focusing on fairness and workflow integration.
RANK_REASON This is a research paper introducing a new framework and benchmark for AI in medical imaging.