This research introduces an interactive system that leverages Large Language Models to verify biomedical claims with transparent explanations and user guidance.

• Integrates LLMs with natural language inference capabilities for medical claim analysis
• Provides transparent model explanations to build trust in verification results
• Enables users to retrieve and analyze scientific studies from medical literature
• Supports user-guided justification for improved verification accuracy

This breakthrough matters for healthcare because it enables evidence-based decision-making with AI assistance while maintaining human oversight, potentially reducing misinformation in medical contexts.

Explainable Biomedical Claim Verification with Large Language Models