Article
Textbook-Level Medical Knowledge in Large Language Models: A Comparative Evaluation Using the Japanese National Medical Examination
2025-09-12
Abstract excerpt
<h4>Study aims and objectives</h4> This study aimed to evaluate the performance of four reasoning-enhanced large language models (LLMs)—GPT-5, Grok-4, Claude Opus 4.1, and Gemini 2.5 Pro—on the Japanese National Medical Examination (JNME). <h4>Methods</h4> We evaluated LLM performance using the 2019 and 2025 JNME (n = 793). Questions were entered into each model with chain-of-thought prompting enabled. Accuracy...
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Identifiers and source
- Literature Corpus work
- b43d3508-d8c7-5f78-920f-4790189f7640
- DOI
- 10.1101/2025.09.10.25335398
