Sep 2026· Australian dental journal· 0 citations· 54 references
Medicine
TL;DR
Successful AI integration requires systematic, phased approaches that prioritise faculty readiness, inclusion of its use as an adjunctive tool, redesign of assessments to evaluate authentic clinical performance, safeguard manual competency development, and uphold ethical principles consistent with Australian professional standards, whilst remaining adaptable as AI capability continues to evolve.
Abstract
Generative artificial intelligence (AI) is transforming dental education, presenting simultaneous opportunities and challenges to academic integrity, assessment validity and clinical competency development. Faculty perspectives, the most critical yet understudied determinant of successful implementation, remain insufficiently addressed in the current literature. A narrative review of published evidence examining generative AI in dental education was conducted, with particular emphasis on faculty perspectives, assessment redesign, clinical applications, as well as ethical and regulatory frameworks applicable to the Australian context. Evidence reveals widespread gaps in faculty AI knowledge and pedagogical readiness, underscoring the need for comprehensive faculty development. Traditional assessment approaches demonstrate significant vulnerabilities to AI assistance, necessitating a fundamental redesign toward authentic evaluation of competencies that AI cannot or finds very difficult to replicate. If an AI system lacking clinical training, manual dexterity or patient interaction experience can pass examinations meant to ensure practice-readiness, the question is not how such use might be detected but what competencies those assessments are measuring, and this question should drive the choices made about assessment and its associated learning activities. Clinical integration offers genuine diagnostic and simulation benefits but risks over-reliance and deskilling without structured implementation. Australian regulatory guidance provides actionable frameworks for responsible adoption. Successful AI integration requires systematic, phased approaches that prioritise faculty readiness, inclusion of its use as an adjunctive tool, redesign of assessments to evaluate authentic clinical performance, safeguard manual competency development, and uphold ethical principles consistent with Australian professional standards, whilst remaining adaptable as AI capability continues to evolve.
A hybrid model is proposed in which standardized simulation competencies are embedded within a broader system of patient-based clinical requirements, direct observation, faculty calibration, and outcomes monitoring, which preserves the benefits of simulation while maintaining the diagnostic reasoning, patient managemen...
C. A. Jurado, Clint Conner, A. Mohamed et al.· Journal of Dental Education· 0 citations
It is argued that open, reflective classroom discussions around ethical concerns and climate impacts of AI are as important as the positive clinical applications to endow students with the knowledge to make decisions that align with social justice and social accountability.
Nilufar Ahmed· British Dental Journal· 0 citations
Overall, CPD is most valuable when it moves beyond checkbox compliance towards learner-centred, theory-informed and outcomes-focused professional development.
Tubonye C Harry· African Journal of Health an...· 0 citations
It is argued that competency frameworks provide a foundation for defining educational competence but require institutional commitment and educational expertise for effective and sustainable implementation.
G. S. S. Lin, C. Foong, C. Sukotjo· Journal of Dental Education· 0 citations
Overall, reform of Clinical Officer education should be evidence-informed, context-sensitive, and implemented progressively, with careful evaluation of whether proposed changes improve practical competence, graduate preparedness, employability, and the responsiveness of medical training to Kenya’s evolving healthcare n...
Gideon Gachihi Githuthi, Charles Stephen Okila, N. Boruett· Asian Journal of Medicine an...· 0 citations
Overall, digital intelligence-driven reform may help align dental technology education with changing practice needs; however, its sustained educational benefits remain uncertain because current evidence is derived mainly from pilot studies, cross-sectional surveys, short-term simulations, and review-based synthesis.
Zhi-Fa Wang, Yao-xiang Xu, Hao-ran Zhao et al.· Frontiers in Medicine· 0 citations
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