Advancement of Artificial Intelligence in Dental Education: A Narrative Review
1 Department of Oral and Maxillofacial Surgery, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
2 Department of oral and maxillofacial surgery, Faculty of dentistry, Isfahan (Khorasgan) branch, Islamic Azad university, Isfahan, Iran.
Review
Open Access Research Journal of Biology and Pharmacy, 2025, 15(02), 006-011.
Article DOI: 10.53022/oarjbp.2025.15.2.0045
Publication history:
Received on 15 September 2025; revised on 22 October 2025; accepted on 25 October 2025
Abstract:
Background: Artificial intelligence (AI) has transitioned from theoretical discussion to tangible application within dental education. The rapid evolution of large language models (LLMs), computer vision algorithms, and adaptive learning systems has created new pathways for personalized instruction, diagnostic training, and skill assessment.
Objective: This review synthesizes contemporary evidence on the integration of AI into dental education, examining its influence on curriculum design, pedagogy, simulation, assessment, and ethics.
Methods: A narrative synthesis was conducted using fourteen primary studies published between 2023 and 2025, including randomized controlled trials, mixed-methods designs, scoping reviews, and conceptual analyses. Additional PubMed-indexed papers were referenced when the primary articles cited foundational sources.
Results: Evidence indicates that AI enhances diagnostic reasoning, fosters multilingual accessibility, and provides personalized formative feedback. Large language models like ChatGPT-4o improve student engagement, while adaptive feedback mechanisms guided by standardized vocabularies such as Mesh improve accuracy and self-efficacy. AI-driven simulation, image analysis, and virtual reality applications enhance psychomotor training and reduce assessment bias. However, faculty readiness, governance frameworks, and ethical considerations remain persistent challenges.
Conclusion: AI is reshaping dental education by augmenting—not replacing—educators’ roles. Integrating validated, ethically governed AI tools can optimize learning outcomes, improve accessibility, and standardize assessment. Future research should focus on large-scale validation, cost-effectiveness, and regulatory alignment to ensure sustainable adoption.
Keywords:
Artificial Intelligence; Deep Learning; Dental Education; Ethics
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Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0