Towards AI-Augmented Clinical Decision-Making: An Examination of ChatGPT's Utility in Acute Ulcerative Colitis Presentations

Asaf Levartovsky, Shomron Ben-Horin, Uri Kopylov, Eyal Klang, Yiftach Barash

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

This study explores the potential of OpenAI's ChatGPT as a decision support tool for acute ulcerative colitis presentations in the setting of an emergency department. We assessed ChatGPT's performance in determining disease severity using TrueLove and Witts criteria and the necessity of hospitalization for patients with ulcerative colitis, comparing results with those of expert gastroenterologists. Of 20 cases, ChatGPT's assessments were found to be 80% consistent with gastroenterologist evaluations and indicated a high degree of reliability. This suggests that ChatGPT could provide as a clinical decision support tool in assessing acute ulcerative colitis, serving as an adjunct to clinical judgment.

Original languageEnglish
Pages (from-to)2283-2289
Number of pages7
JournalAmerican Journal of Gastroenterology
Volume118
Issue number12
DOIs
StatePublished - 1 Dec 2023
Externally publishedYes

Keywords

  • acute ulcerative colitis
  • artificial intelligence tools
  • ChatGPT
  • clinical decision
  • emergency department

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