Assessing the Capability of Large Language Models in Answering Pediatric Critical Care Board-Style Questions.

Saved in:
Bibliographic Details
Title: Assessing the Capability of Large Language Models in Answering Pediatric Critical Care Board-Style Questions.
Authors: Chanci D; Department of Biomedical Engineering, Duke University, 2080 Duke University Road, Durham, 27708, NC, USA.; Department of Surgery, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Moore R; Department of Surgery, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Foote HP; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Goldstein MA; Division of Pediatric Critical Care Medicine, Department of Pediatrics, NYU Grossman School of Medicine, 550 First Avenue, 10016, New York, NY, USA., Kumar KR; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Rotta AT; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Hornik CP; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Burriss-West M; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Hamilton M; Department of Pediatrics, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA., Kamaleswaran R; Department of Biomedical Engineering, Duke University, 2080 Duke University Road, Durham, 27708, NC, USA.; Department of Surgery, Duke University School of Medicine, 40 Duke Medicine Circle, 27710, Durham, NC, USA.
Source: Research square [Res Sq] 2025 Nov 03. Date of Electronic Publication: 2025 Nov 03.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2693-5015
DOI:10.21203/rs.3.rs-7714101/v1