Evaluating clinical AI summaries with large language models as judges
Emma Croxford; Yanjun Gao; Elliot First; Nicholas Pellegrino; Miranda Schnier; John Caskey; Madeline Oguss; Graham Wills · 2025 · npj Digital Medicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Electronic Health Records (EHRs) contain vast clinical data that are difficult for providers to synthesize. Generative AI with Large Language Models (LLMs) can summarize records to reduce cognitive burden, but ensuring accuracy requires…
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Metadata source: OpenAlex · DOI 10.1038/s41746-025-02005-2