Evaluating the capability of ChatGPT in predicting drug-drug interactions: Real-world evidence using hospitalized patient data.

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Bibliographic Details
Title: Evaluating the capability of ChatGPT in predicting drug-drug interactions: Real-world evidence using hospitalized patient data.
Authors: Radha Krishnan RP; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia., Hung EH; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Ashford M; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Edillo CE; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Gardner C; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Hatrick HB; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Kim B; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Lai AWY; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia., Li X; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Zhao YX; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.; Faculty of Science, University of Sydney, Sydney, New South Wales, Australia., Raubenheimer JE; Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.
Source: British journal of clinical pharmacology [Br J Clin Pharmacol] 2024 Dec; Vol. 90 (12), pp. 3361-3366. Date of Electronic Publication: 2024 Oct 02.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 7503323 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2125 (Electronic) Linking ISSN: 03065251 NLM ISO Abbreviation: Br J Clin Pharmacol Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1365-2125
DOI:10.1111/bcp.16275