Article

Enhancing Clinical Reasoning in Medical Vision-Language Model through Structured Prompts

2025-08-01

Abstract excerpt

Medical Vision-Language Models (MVLMs) are emerging as powerful tools for tasks such as Visual Question Answering (VQA); however, they often struggle with hallucination and limited reasoning transparency, particularly in complex diagnostic scenarios. In this work, we enhance the MedVLM-R1 framework by fine-tuning it using clinically informed prompt structures tailored specifically for radiology-based reasoning. Wi...

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Literature Corpus work: e5f0007c-8194-5945-bcf8-922fa02f2b2d
DOI: 10.1101/2025.07.31.25331901

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