Large language model-based identification of venous thromboembolism diagnostic delays.

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Bibliographic Details
Title: Large language model-based identification of venous thromboembolism diagnostic delays.
Authors: Schaye V; Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York, USA., Sartori DJ; Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA., Signoriello L; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York, USA., Malhotra K; Clinical Informatics Fellow, NYU Grossman School of Medicine, New York, New York, USA.; Department of Ophthalmology, NYU Grossman School of Medicine, New York, New York, USA., Guzman B; Division of Applied AI Technologies, NYU Langone Health, New York, New York, USA., Rajput B; Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA., Reinstein I; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York, USA., Burk-Rafel J; Department of Medicine, NYU Grossman School of Medicine, New York, New York, USA.; Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, New York, USA.
Source: Journal of hospital medicine [J Hosp Med] 2026 Apr; Vol. 21 (4), pp. 391-401. Date of Electronic Publication: 2025 Oct 07.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 101271025 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1553-5606 (Electronic) Linking ISSN: 15535592 NLM ISO Abbreviation: J Hosp Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1553-5606
DOI:10.1002/jhm.70194