This paper is in the following e-collection/theme issue:

Applications of AI (161) Generative Language Models Including ChatGPT (463)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50442, first published .
Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks

Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks

Assessment of ChatGPT-3.5's Knowledge in Oncology: Comparative Study with ASCO-SEP Benchmarks

Authors of this article:

Roupen Odabashian1 Author Orcid Image ;   Donald Bastin2 Author Orcid Image ;   Georden Jones3 Author Orcid Image ;   Maria Manzoor4 Author Orcid Image ;   Sina Tangestaniapour5 Author Orcid Image ;   Malke Assad6 Author Orcid Image ;   Sunita Lakhani7 Author Orcid Image ;   Maritsa Odabashian3, 8 Author Orcid Image ;   Sharon McGee9, 10 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Longwell J, Hirsch I, Binder F, Gonzalez Conchas G, Mau D, Jang R, Krishnan R, Grant R. Performance of Large Language Models on Medical Oncology Examination Questions. JAMA Network Open 2024;7(6):e2417641 View
  2. Ganjavi C, Melamed S, Biedermann B, Eppler M, Rodler S, Layne E, Cei F, Gill I, Cacciamani G. Generative artificial intelligence in oncology. Current Opinion in Urology 2025;35(3):205 View