Diagnostic Accuracy of a Large Language Model (ChatGPT-4) for Patients Admitted to a Community Hospital Medical Intensive Care Unit: A Retrospective Case Study.
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| Title: | Diagnostic Accuracy of a Large Language Model (ChatGPT-4) for Patients Admitted to a Community Hospital Medical Intensive Care Unit: A Retrospective Case Study. |
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| Authors: | Singh J; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Bohra R; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Mukhtiar V; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Fernandes W; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Bhanushali C; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Chinnamuthu R; Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA., Kanamgode SS; Department of Pulmonary and Critical Care, UMass Memorial, Worcester, MA 01608, USA., Ellis J; Department of Nursing, Saint Vincent Hospital, Worcester, MA 01608, USA., Silverman E; Division of Pulmonary and Critical Care, Department of Medicine, Saint Vincent Hospital, Worcester, MA 01608, USA. |
| Source: | Journal of intensive care medicine [J Intensive Care Med] 2026 May; Vol. 41 (5), pp. 413-420. Date of Electronic Publication: 2025 Aug 17. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Sage Publications Country of Publication: United States NLM ID: 8610344 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1489 (Electronic) Linking ISSN: 08850666 NLM ISO Abbreviation: J Intensive Care Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1525-1489 |
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| DOI: | 10.1177/08850666251368270 |
