Research Area:  Artificial Intelligence

Abstract:

Since the advent of artificial intelligence (AI) since 1955, the applications of artificial intelligence (AI) have risen over the years. However, there has been little interest in AI in medical education until the last two decades, with an increase in the number of publications and citations on the field. Currently to our knowledge, limited articles are discussing or reviewing the current use of AI in medical education. This study aims to review the current applications of AI in medical education, as well as the challenges of implementing AI in medical education. Medline (Ovid), EBSCOhost ERIC & Education Source and Web of Science were searched with explicit inclusion and exclusion criteria. Selected articles were analyzed in full-text using the Extension of Technology Acceptance Model (ETAM) and the Diffusions of Innovations (DOI) theory. Data was subsequently pooled together and analyzed quantitatively. A total of 34 articles were identified; three primary uses of AI in medical education were identified: 1 on curriculum review, 29 on learning support, and four on assessment of students learning. Thirty-one articles described the challenges of implementation of AI in medical education; two main reasons were identified: difficulty in assessing the effectiveness of AI in medical education, and technical challenges while developing the AI system.

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Author(s) Name:  Kai Siang Chan; Nabil Zary

Publisher name:  JMIR Publication

DOI:  10.2196/13930

Volume Information:  

Paper Link:   https://preprints.jmir.org/preprint/13930