Evaluating AI performance in nephrology triage and subspecialty referrals
Evaluating AI performance in nephrology triage and subspecialty referrals
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. This study evaluates the utility of ChatGPT, a large language model, in triaging nephrology cases through simulated real-world scenarios. Two nephrologi...
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Full title
Evaluating AI performance in nephrology triage and subspecialty referrals
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TN_cdi_doaj_primary_oai_doaj_org_article_5985b9a30ec34c2e9ca73db1bb7d6104
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5985b9a30ec34c2e9ca73db1bb7d6104
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-88074-5
