Large language models as judges for clinical generative AI evaluation

The study evaluated the use of large language models (LLMs) as judges for clinical generative AI outputs, comparing their assessments to those of clinicians across multiple clinical rubrics. LLMs showed strong agreement with physicians on factual criteria but weaker alignment on interpretive aspects like reasoning and safety, suggesting they can serve as a scalable evaluation method with caution.

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