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Evaluation of multiple generative large language models on neurology board-style questions
0
Zitationen
9
Autoren
2026
Jahr
Abstract
LLMs-particularly ChatGPT-5 and ChatGPT-4o-exceeded resident performance on text-based neurology board-style questions across subspecialties and cognitive levels. Gemini 2.5 showed substantial gains over v1 but with domain-uneven scaling. Given weak confidence calibration, LLMs should be integrated as supervised educational adjuncts with ongoing validation, version governance, and transparent metadata to support safe use in neurology education.
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