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Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models

Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, Victor Tseng · PLOS Digital Health · 2023

DOI 10.1371/journal.pdig.0000198

Why this label

  • Metadata only — full assessment not yet run.

The Paper Scorecard

  • Standingclear
    • No retraction on record (OpenAlex metadata as of 2026-08-24).
  • Designjournal article
    • Journal article (PLOS Digital Health). Study design detail comes from the methodology read, not metadata.
  • Executionnot assessed
    • Metadata only — full assessment not yet run.
  • Corroborationhighly cited
    • Cited by 3743 works (OpenAlex citation count).
  • Provenanceidentified
    • Published in PLOS Digital Health.
    • Publisher: Public Library of Science.
    • ISSN 2767-3170.
    • The journal is listed in DOAJ.
    • Open-access status: gold.
Assessed by Epistry · metadata as of August 24, 2026
Performance of ChatGPT on USMLE: Potential for AI-assisted medical ed… — Epistry