The role of artificial intelligence in enhancing personalized learning pathways and clinical training in dental education
Chengchen Hu, Fang Li, Shengguo Wang, Zhi Gao, Shan L. Pan, Maofeng Qing
- Year
- 2025
- Citations
- 12
Abstract
This review explores the transformative role of Artificial Intelligence (AI) in dental education, with a particular focus on personalized learning pathways during dental internships. AI technologies, such as adaptive learning platforms and virtual reality simulations, are reshaping how dental students acquire knowledge and clinical skills by customizing the learning experience to meet individual needs. These advancements have led to improved student engagement and enhanced clinical competence. Moreover, AI-driven innovations in dental biomaterials are optimizing material selection and prosthetic design, while robotic-assisted systems are enhancing precision in clinical training and treatment procedures. The review also addresses the expanding integration of AI into educational settings, highlighting both the benefits and the ethical challenges, including issues related to data privacy, algorithmic bias, and the evolving role of human educators. By examining current AI applications and projecting future trends, this review emphasizes the necessity of implementing AI responsibly within dental training. In conclusion, while AI holds great promise for revolutionizing dental education through tailored learning experiences, careful integration is essential to address ethical concerns and preserve the critical role of educators. Future research should aim to refine AI technologies and establish comprehensive guidelines for their effective and ethical use in dental education.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991