Performance of ChatGPT on dermatology Specialty Certificate Examination multiple choice questions.


Journal

Clinical and experimental dermatology
ISSN: 1365-2230
Titre abrégé: Clin Exp Dermatol
Pays: England
ID NLM: 7606847

Informations de publication

Date de publication:
02 Jun 2023
Historique:
received: 25 05 2023
accepted: 26 05 2023
medline: 2 6 2023
pubmed: 2 6 2023
entrez: 2 6 2023
Statut: aheadofprint

Résumé

ChatGPT is a large language model trained on increasingly large datasets by OpenAI to perform language-based tasks. It is capable of answering multiple-choice questions, such as those posed by the dermatology SCE examination. We asked two iterations of ChatGPT: ChatGPT-3.5 and ChatGPT-4 84 multiple-choice sample questions from the sample dermatology SCE question bank. ChatGPT-3.5 achieved an overall score of 63.1%, and ChatGPT-4 scored 90.5% (a significant improvement in performance (p<0.001)). The typical pass mark for the dermatology SCE is 70-72%. ChatGPT-4 is therefore capable of answering clinical questions and achieving a passing grade in these sample questions. There are many possible educational and clinical implications for increasingly advanced artificial intelligence (AI) and its use in medicine, including in the diagnosis of dermatological conditions. Such advances should be embraced provided that patient safety is a core tenet, and the limitations of AI in the nuances of complex clinical cases are recognised.

Identifiants

pubmed: 37264670
pii: 7188526
doi: 10.1093/ced/llad197
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of British Association of Dermatologists. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Lauren Passby (L)

Department of Dermatology, Solihull Hospital, University Hospitals Birmingham NHS Foundation Trust, UK.

Nathan Jenko (N)

Department of Radiology, The Royal Orthopaedic Hospital NHS Foundation Trust, UK.

Aaron Wernham (A)

Department of Dermatology, Leicester Royal Infirmary, Leicester, UK.
Department of Dermatology, Manor Hospital, Walsall Healthcare NHS Trust, Walsall, UK.

Classifications MeSH