Artificial Intelligence in Dental Education: A Scoping Review of Opportunities, Challenges, and Ethical Frameworks for Shaping Accreditation Standards and Future Practice

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 5, 2025

Background: The integration of artificial intelligence (AI) into dental education offers transformative potential for enhancing learning outcomes, clinical training, and institutional efficiency. However, rapid AI adoption introduces ethical, logistical, pedagogical challenges that require systematic exploration. This scoping review maps the current applications, challenges, future directions in education, focusing on its curricula while ensuring equitable, pedagogically sound practices. Methods: Joanna Briggs Institute framework was followed, with reporting per PRISMA-ScR guidelines reviews. A search conducted across PubMed, EMBASE, MEDLINE-Ovid, Google Scholar studies published between January 2018 2025. terms included "artificial intelligence," "dental education," "machine learning," "ChatGPT," "ethical challenges," Medical Subject Headings (MeSH) applied where applicable. After duplicate removal, 624 510 records underwent title/abstract screening, followed by a full-text 57 articles, 43 meeting eligibility criteria. Data extraction focused study design, population, type, key challenges. Results: findings include following: 1. AI-Driven Personalization: Generative (e.g., ChatGPT) reduced grading time 45% improved reflective although 33% reported algorithmic bias due to nonrepresentative training data. 2. In tools achieved 99% accuracy caries detection compared 77–79% students, but models trained homogeneous datasets underperformed diverse cohorts. 3. Institutional Efficiency: Automated scheduling administrative workloads 30%, yet only 18% institutions had updated literacy modules. 4. Ethical Governance: privacy data protection breaches occurred 24% studies, 41% faculty resistance adoption, highlighting need dental-specific guidelines. Conclusion: AI holds significant promise requires addressing Future efforts should focus updating accreditation standards, fostering interdisciplinary collaboration, developing hybrid balance AI-driven efficiency traditional mentorship. Longitudinal are needed evaluate long-term impact competence patient outcomes. Significance: Dental educators clearer guidance integrating curriculum.

Language: Английский

Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices - a cross-sectional study

BMC Oral Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: May 21, 2025

Language: Английский