Integration of Artificial Intelligence in Dentistry: A Systematic Review of Educational and Clinical Implications

Abstract

In dentistry, artificial intelligence (AI) revolutionized education and healthcare by providing customized, scalable, and innovative learning. Most of the review evidence focusing on the application of AI in dentistry has been published; however, this systematic review focuses on determining the knowledge, attitude, preparedness of institutions, and potential benefits of AI tools in comparison to human critical thinking by targeting studies evaluating AI's potential in the assessment of disorders, decision-making, and simulation-oriented training. A search for relevant studies was conducted across Google Scholar, ScienceDirect, and PubMed databases from 2019 to 2024 which led to the recruitment of seven pieces of evidence demonstrating applications of AI involving, diagnostic systems, gamification tools, and virtual reality modules in dentistry, which increased engagement, and enhanced learning as well as diagnostic accuracy. However, challenges including organizational barriers, small sample sizes, and methodological differences were observed. In conclusion, for advancing the field of dentistry, AI applications demonstrate a significant contribution; however, to inculcate reliable frameworks, further investigations should focus on the conduction of longitudinal studies, restrictions to implementation, and collaboration of organizations with dental institutions.

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