Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/68538, first published
.

Journals
- Dasa D, Board M, Rolfe U, Dolby T, Tang W. Evaluating AI-driven characters in extended reality (XR) healthcare simulations: A systematic review. Artificial Intelligence in Medicine 2025;170:103270 View
- Hosseini S. AI misuse and passiveness of students in medical education. Advances in Physiology Education 2025;49(4):1009 View
- Ahn S. Preserving Critical Thinking in the Age of Large Language Models: The Paradox of Cognitive Load and Efficiency. The Korean Journal of Medicine 2025;100(5):197 View
- Wang K, Guo Z. Can Learners’ Use of GenAI Enhance Learning Engagement?—A Meta-Analysis. Education Sciences 2025;15(12):1578 View
- Haberal M, Hançerlioğulları D. Can artificial intelligence chatbots think like dentists? A comparative analysis based on dental specialty examination questions in restorative dentistry. BMC Oral Health 2026;26(1) View
- Bhadila G, Bahdila D, Saber N, Alyafi D. Impact of artificial intelligence on task performance and perceived task load: a pragmatic randomized experiment. Frontiers in Education 2026;11 View
- Li H, Chen S, Chang B, Wang X, He Y, Xu B, Sun G, Yang C, Li G, Li S, Li G. Application of artificial intelligence in oral health management: challenges and opportunities. Frontiers in Medicine 2026;13 View
- Maes M, Van Gerven J, Willaert R, Jacobs R. Augmented and virtual reality in dental and oral and maxillofacial surgery education: a systematic review with a taxonomy of training technologies. BMC Medical Education 2026;26(1) View
- Lai N, Lim Y, Win M, Bhargava P, Thomas P, Ong Q. The Effectiveness of Artificial Intelligence in Undergraduate Health Professions Education: Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Medical Education 2026;12:e88933 View
- Veerabhadrappa S, Vadivel J, Yadav S, Jain V, Marya A, Selvaraj S. Effectiveness of ChatGPT-assisted and drawing-based learning in enhancing understanding of intraoral radiographic anatomy among dental students: a comparative study. BMC Oral Health 2026;26(1) View
- Hasan S, Ahmed A, Ismail F. The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review. Advances in Medical Education and Practice 2026;Volume 17:1 View
- Ma X, Liu X, Sun H. The effectiveness of GAI-assisted teaching methods in medical education: a systematic review and meta-analysis. Frontiers in Public Health 2026;14 View
- Nikolopoulos A, Karalis V. Implementation of Generative AI in Biomedical Research and Healthcare. Applied Biosciences 2026;5(2):34 View
- Alam M, Alsaeed S, Hajeer M, Abutayyem H, Alayyash A. Haptic technology in orthodontics: a systematic review and meta-analysis. Frontiers in Oral Health 2026;7 View
- Pillai P, Saadat S, Ward I, Hajibandeh S, Hajibandeh S. Meta-analysis of randomized controlled trials comparing outcomes of artificial intelligence-based teaching versus traditional-based teaching in medical education. Postgraduate Medical Journal 2026 View
- Gadbail A, Gondivkar S, Yuwanati M, Sonone A, Dhamande M, Panchbhai A, Hande A, Patil S, Sarode S. Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes. BMC Medical Education 2026;26(1) View
- Buva K, Deshmukh A, Shete M, Shete A, Gangurde P. Application of deep machine learning in dental education: a systematic review of effectiveness in dental students' teaching learning outcomes. Evidence-Based Dentistry 2026 View
- Chuenjitwongsa S, Arunratanothai T, Rewthamrongsris P, Sumrejkanchanakij P, Tavedhikul K, Samaranayake L, Osathanon T. Artificial Intelligence in Dental Education: Overview of Teaching, Assessment and Academic Performance Prediction. International Dental Journal 2026;76(5):109733 View
- Xie G, Liao J, Tang X, Fu H, Liu D, Deng L, Wang T, Hong X. The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis. BMC Medical Education 2026;26(1) View
- Xie Y, Ou Z, Huang Y, Huang H, Ran X, Dai H, Huang B, Shu L. An exploratory study of the use of artificial intelligence-based virtual patients to enhance dentist-patient communication training. BMC Medical Education 2026;26(1) View
