Year: 2025
Type: article
Abstract: Objective: This study aims to compare the performance of artificial intelligence (AI) chatbot ChatGPT with anaesthesiology and reanimation residents at a major hospital in an exam modelled after the European Diploma in Anaesthesiology and Intensive Care Part I. Methods: The annual training exam for residents was administered electronically. One day prior to this, the same questions were posed to an AI language model. During the analysis, the residents were divided into two groups based on their training duration (less than 24 months: Group J; 24 months or more: Group S). Two books and four guides were used as references in the preparation of a 100-question multiple-choice exam, with each correct answer awarded one point. Results: in Group S. Conclusion: ChatGPT exhibited a performance comparable to that of a resident in an exam centred on anaesthesiology and critical care. We suggest that by tailoring an AI model like ChatGPT in anaesthesiology and resuscitation, exam performance could be enhanced, paving the way for its development as a valuable tool in medical education.
Institutions: Sağlık Bilimleri Üniversitesi, Ankara Etlik City Hospital
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409568418