This research rigorously evaluates how well DeepSeek R1's medical reasoning aligns with clinical expertise using 100 MedQA clinical cases.

• Strong diagnostic performance with 93% accuracy on complex clinical cases
• Demonstrates systematic clinical judgment through differential diagnosis and guideline-based treatment selection
• Successfully integrates patient-specific factors into decision-making
• Analysis of errors reveals important areas for improvement in healthcare deployment

Why it matters: As healthcare explores AI integration, understanding how LLMs reason through medical cases is essential for safe and effective clinical implementation. This evaluation framework provides a blueprint for assessing medical LLM alignment with expert reasoning patterns.

Medical Reasoning in LLMs: An In-Depth Analysis of DeepSeek R1