Evaluating clinical AI summaries with large language models as judges | npj Digital Medicine
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Researchers are exploring the use of large language models to evaluate the quality of clinical summaries, including those generated by artificial intelligence and written by physicians. The studies involve various approaches, including the integration of these models with electronic health records and the comparison of human and AI evaluations of treatment plans. The outcomes of these evaluations are being examined in different medical contexts, including hospital discharge summaries and the treatment of specific diseases.
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