AIBullisharXiv – CS AI · Mar 37/108
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CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
Researchers introduce CARE, an evidence-grounded agentic framework for medical AI that improves clinical accountability by decomposing tasks into specialized modules rather than using black-box models. The system achieves 10.9% better accuracy than state-of-the-art models by incorporating explicit visual evidence and coordinated reasoning that mimics clinical workflows.