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January 18, 2026International Journal of Dentistry0 citationsOpen Access

Personalized Learning With Artificial Intelligence in Dental Education: An Integrative Review

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MBMithun Pai BHSYShweta YellapurkarKCKavery Chengappa

Key Points

  • The central aim is to explore the impact of AI technologies on personalizing dental education based on learners' preferences.
  • Conducted keyword searches across databases using specific terms related to AI and dental education.
  • Screened titles and abstracts to refine the number of studies reviewed from the initial search.
  • Included studies focused specifically on AI applications in dental education, such as virtual reality and augmented reality.
  • Identified 920 studies, narrowing down to 13 relevant studies that met inclusion criteria for AI in dental education.
  • Highlighted various AI tools like virtual reality and augmented reality used for interactive learner engagement.
  • Discussed both the advantages and challenges of implementing AI in personalized dental education.

Abstract

Background Dental education is at the pinnacle of innovation and evolution. Advancements in artificial intelligence (AI) have reinforced personalized dental education to learners’ preferences and needs to emerge as a game changer. Conventional dental education has rigid and standardized methods of learning that are inconvenient to diverse learning preferences. With the aid of AI, the learning process can be personalized. This integrative review discusses the various AI tool driving change in dental education to provide a tailor‐made learning experience for developing new knowledge that can inform practice and policy. Methods The search strategy involved looking for keywords, “personalized learning” OR “adaptive learning” AND “artificial intelligence” AND “dental education” across databases. The results obtained were subject to review and the various AI tools used in dental education for personalizing learning process are discussed. Results The keyword search across databases yielded 920 studies. After the 355 duplicates were removed 565 studies remained. The title and abstract screening were conducted; 377 studies were excluded resulting in 188 studies, 175 studies not complying with the inclusion criteria, resulting in 13 studies of which six were included as other studies did not specify on dental education, virtual simulation, augmented reality (AR) without inculcating AI technologies. The studies reviewed showed numerous tools such as virtual reality (VR) and AR being utilized for interactive and immersive engagement of learners. Conclusion This review highlights both the pros and cons of AI‐driven personalized dental education and analyses prospects for improvement such as multistakeholder collaboration to create adaptive and student‐centered learning experience. Personalized dental education driven by AI can serve as a game changer in dental education by integrating technology for enhanced learning and development of policies for proper adaptation of such systems in personalized dental education.

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Cite This Study

BH et al. (2026) studied this question.

synapsesocial.com/papers/696c785beb60fb80d139697bhttps://doi.org/10.1155/ijod/8928166
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence in Dental Education: A Scoping Review of Applications, Challenges, and Gaps2025 · 45 citations
  2. 2Artificial intelligence for teaching, training, and assessment in dental education: a domain-based scoping review2026
  3. 3Artificial Intelligence ( <scp>AI</scp> ) Impact on Dental Education and Curriculum: A Systematic Review Following <scp>PRISMA</scp> Guidelines2026
  4. 4Artificial Intelligence in Dental Education: A Literature Review of Global Adoption, Pedagogical Outcomes, and Ethical Implications2026
  5. 5Artificial Intelligence in Dental Education: Overview of Teaching, Assessment and Academic Performance Prediction.2026