Artificial Intelligence Applications in Dentistry: Transforming Clinical Practice, Challenges, and Future Perspectives

Abstract

Artificial intelligence (AI) is revolutionizing modern dentistry by enhancing diagnostic accuracy, streamlining workflows, and enabling personalized patient care. Leveraging advanced computational models, including machine learning and convolutional neural networks (CNNs), AI applications span across dental specialties such as surgical dentistry, orthodontics, endodontics, orthodontics, and oral pathology. These technologies facilitate early disease detection, precise treatment planning, predictive modeling of restorative success, and improved clinical outcomes and patient satisfaction. Despite its transformative potential, the integration of AI into dentistry faces challenges such as data bias, limited interpretability, and ethical concerns surrounding patient privacy. This review explores the applications, limitations, and future prospects of AI in dentistry.