Enhancing Medical Education: The Role of Artificial Intelligence Tools in the Teaching-Learning Process

This study aimed to investigate the role of artificial intelligence (AI) tools in enhancing the teaching-learning process in medical education through a scoping review.

This study was conducted as a scoping review. A comprehensive search of published articles was performed across multiple databases, including Scopus, PubMed, Web of Science, Embase, ERIC, Emerald, and IEEE, covering the period from 2000 to 2024. After removing duplicate records using EndNote software, titles and abstracts were screened, followed by full-text evaluation. The quality of the included studies was assessed using the Critical Appraisal Skills Programme (CASP), and reporting was conducted in accordance with the PRISMA-ScR guidelines.

The findings were categorized into four main themes: (1) domains of application of AI tools, (2) characteristics of AI tools in medical education, (3) applications and effectiveness of AI tools, and (4) challenges associated with AI use.

The integration of AI into the teaching-learning process in medical education offers significant opportunities for developing innovative educational approaches. While AI enhances student engagement, learning outcomes, and satisfaction, it also introduces challenges such as ethical concerns, potential biases, and issues related to data privacy. Addressing these challenges is essential for the effective and responsible implementation of AI in medical education.