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Med-AgentX: Multimodal Large Language Model Agents with Explainable Reinforcement Learning for Trustworthy Biomedical Decision Support

2025-10-06

Abstract excerpt

<title>Abstract</title> <p>Biomedical decision support systems face persistent challenges in integrating multimodal patient data and providing clinicians with trustworthy, transparent recommendations. While large language models (LLMs) and multimodal foundation models demonstrate remarkable reasoning across text, images, and structured records, their black-box nature and brittleness under noisy or adversarial con...

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Literature Corpus work
278ed49a-13f2-53b7-90a2-6ae892210276
DOI
10.21203/rs.3.rs-7773686/v1
Open publication

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Med-AgentX: Multimodal Large Language Model Agents with Explainable Reinforcement Learning for Trustworthy Biomedical Decision SupportDOI 10.21203/rs.3.rs-7773686/v1
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