This article explores how artificial intelligence (AI) is transforming endodontic education and clinical practice. It highlights the impact of AI tools-such as machine learning, neural networks, computer vision, virtual reality, and augmented reality-in enhancing diagnostic accuracy, procedural skills, and personalized learning. Traditional training methods relying on lectures and limited hands-on practice are contrasted with AI-driven approaches offering standardized assessment, real-time feedback, and immersive simulations. The article addresses challenges related to ethical considerations, data privacy, and interdisciplinary collaboration. Through case studies and pilot programs, it demonstrates how AI can complement clinical expertise and revolutionize the training of dental professionals.
Keywords: Artificial intelligence; Clinical simulation; Diagnostic accuracy; Endodontic education; Ethical considerations; Machine learning.
Published by Elsevier Inc.