ObGynLongBench: Revealing the Evidence-to-EHR Gap in Longitudinal EHR Decision-Making
The application of large language models (LLMs) to personalized medical assistants has garnered growing interest. However, existing medical benchmarks largely rely on static question answering with pre-selected evidence, leaving unclear whether LLMs can make reliable clinical decisions from real longitudinal electronic...
Jun Xiang, Zhi-Jie Bao, Rong Hu et al.
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