Towards Expert-Level Medical Question Answering with Large Language Models
by Google Research · unknown · Last verified 2026-03-17
This paper introduces Med-PaLM 2, a large language model fine-tuned on medical data. It achieves expert-level performance on medical licensing exam questions, demonstrating clinical reasoning comparable to physicians, and proposes a framework for evaluating the safety and alignment of medical AI systems.
https://arxiv.org/abs/2305.09617 ↗B
B—Above Average
Adoption: BQuality: A+Freshness: B+Citations: B+Engagement: F
Specifications
- License
- Open Access
- Pricing
- unknown
- Capabilities
- Medical question answering (USMLE-style), Clinical reasoning and logic, Differential diagnosis generation, Summarization of medical literature, Answering patient questions, Medical knowledge retrieval, Clinical trial data analysis, Medical information synthesis
- Integrations
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- No
- Tags
- healthcare, medical-ai, llm, google, med-palm, clinical-reasoning, medical-qa, usmle, ai-safety, natural-language-processing, deep-learning
- Added
- 2026-03-17
- Completeness
- 1%
Index Score
63.4Adoption
68
Quality
91
Freshness
75
Citations
72
Engagement
0