MIRA framework enhances agentic medical diagnosis with evidence verification

Researchers have developed MIRA, a novel framework for agentic medical image diagnosis that focuses on verifying the necessity and relevance of evidence gathered through tool use. MIRA dynamically employs image-processing operations and web searches, evaluating their consistency with diagnostic hypotheses. The framework was trained using a two-stage process involving a tool-augmented Monte Carlo Tree Search and reinforcement learning to refine decision-making. Across nine benchmarks, MIRA improved the performance of its Qwen3-VL-8B backbone by 7.44 points, significantly increasing accurate tool-use judgments and reducing harmful ones. AI

IMPACT Enhances agentic AI capabilities in specialized domains like medical diagnosis by improving evidence verification and reducing erroneous tool use.

RANK_REASON The cluster describes a research paper detailing a new framework for agentic diagnosis. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
• arXiv
• CatalyzeX
• DagsHub
• Gotit.pub
• Hugging Face
• MIRA
• Monte Carlo tree search
• Qwen3 VL 8B
• ScienceCast

• paper
• model release

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