Ontology highlight
ABSTRACT: Background
Evaluating the accuracy and educational utility of artificial intelligence-generated medical cases, especially those produced by large language models such as ChatGPT-4 (developed by OpenAI), is crucial yet underexplored.Objective
This study aimed to assess the educational utility of ChatGPT-4-generated clinical vignettes and their applicability in educational settings.Methods
Using a convergent mixed methods design, a web-based survey was conducted from January 8 to 28, 2024, to evaluate 18 medical cases generated by ChatGPT-4 in Japanese. In the survey, 6 main question items were used to evaluate the quality of the generated clinical vignettes and their educational utility, which are information quality, information accuracy, educational usefulness, cli
SUBMITTER: Takahashi H
PROVIDER: S-EPMC11350316 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature