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Published on in Vol 6 (2025)

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2024.08.09.24311777v1, first published .
Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Large Language Models for Pediatric Differential Diagnoses in Rural Health Care: Multicenter Retrospective Cohort Study Comparing GPT-3 With Pediatrician Performance

Journals

  1. Urda-Cîmpean A, Leucuța D, Drugan C, Duțu A, Călinici T, Drugan T. Assessing the Accuracy of Diagnostic Capabilities of Large Language Models. Diagnostics 2025;15(13):1657 View
  2. Onur D, Özbakır Ç. Pediatrics 4.0: the Transformative Impacts of the Latest Industrial Revolution on Pediatrics. Health Care Analysis 2025 View
  3. Park T, Lee I, Lee S, Kong S. Artificial intelligence in pediatric healthcare: current applications, potential, and implementation considerations. Clinical and Experimental Pediatrics 2025;68(9):641 View
  4. Cotfas L, Sandu A, Delcea C, Diaconu P, Frăsineanu C, Stănescu A. From Transformers to ChatGPT: An Analysis of Large Language Models Research. IEEE Access 2025;13:146889 View
  5. Aykac K, Cubuk O, Demir O, Choe Y, Aydin M, Ozsurekci Y. Comparing ChatGPT-3.5, Gemini 2.0, and DeepSeek V3 for pediatric pneumonia learning in medical students. Scientific Reports 2025;15(1) View
  6. Launes C, Esteller‐Cucala P, Alvarez‐Estape M, Cano I, Pino R, González‐Grado C, Aldemira‐Liz A, Logroño J, Mascías C, do‐Olmo J, Isla J, Cossio Y, Garcia‐Cuyas F. Large‐language‐models for pediatric diagnosis: Performance evaluation using real‐world clinical notes from common and rare cases. Pediatric Investigation 2026 View
  7. Huang T, Tse G, Pageler N, Bannett Y. Large Language Models Using Clinical Text in Pediatrics. JAMA Network Open 2026;9(3):e262443 View