#visual-language-models2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago2

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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.

AIBullisharXiv – CS AI · 6h ago2

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ClinCoT: Clinical-Aware Visual Chain-of-Thought for Medical Vision Language Models

Researchers propose ClinCoT, a new framework for medical AI that improves Visual Language Models by grounding reasoning in specific visual regions rather than just text. The approach reduces factual hallucinations in medical AI systems by using visual chain-of-thought reasoning with clinically relevant image regions.