Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study.
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| Title: | Assessing the Ability of a Large Language Model to Score Free-Text Medical Student Clinical Notes: Quantitative Study. |
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| Authors: | Burke HB; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212., Hoang A; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212., Lopreiato JO; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212., King H; Defense Health Agency, Falls Church, VA, United States., Hemmer P; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212., Montgomery M; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212., Gagarin V; Uniformed Services University of the Health Sciences, Bethesda, MD, 20814, United States, 1 301-938-2212. |
| Source: | JMIR medical education [JMIR Med Educ] 2024 Jul 25; Vol. 10, pp. e56342. Date of Electronic Publication: 2024 Jul 25. |
| Publication Type: | Journal Article; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101684518 Publication Model: Electronic Cited Medium: Internet ISSN: 2369-3762 (Electronic) Linking ISSN: 23693762 NLM ISO Abbreviation: JMIR Med Educ Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2369-3762 |
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| DOI: | 10.2196/56342 |
