Benchmarking GPT models' diagnostic performance in sleep medicine using clinical cases and MCQs, suggesting potential plateauing in effectiveness.
To benchmark the performance trajectory of successive GPT models in sleep medicine, assessing diagnostic capacity with clinical vignettes and domain knowledge via board-style MCQs to test the hypothesis that performance gains are plateauing.
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Patel et al. (2026) studied this question.
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