Large Language Models in Otolaryngology Residency Admissions: A Random Sampling Analysis.

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Bibliographic Details
Title: Large Language Models in Otolaryngology Residency Admissions: A Random Sampling Analysis.
Authors: Halagur AS; Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Stanford, California, U.S.A.; Department of Otolaryngology-Head & Neck Surgery, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, U.S.A., Balakrishnan K; Division of Pediatric Otolaryngology, Department of Otolaryngology-Head & Neck Surgery, Stanford University School of Medicine, Palo Alto, California, U.S.A., Ayoub N; Division of Rhinology and Skull Base Surgery, Department of Otolaryngology-Head & Neck Surgery, Mass Eye and Ear, Boston, Massachusetts, U.S.A.
Source: The Laryngoscope [Laryngoscope] 2025 Jan; Vol. 135 (1), pp. 87-93. Date of Electronic Publication: 2024 Aug 19.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 8607378 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1531-4995 (Electronic) Linking ISSN: 0023852X NLM ISO Abbreviation: Laryngoscope Subsets: MEDLINE
Database: MEDLINE Ultimate
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