Abstract

The application of Artificial Intelligence (AI) in healthcare has revolutionized numerous fields, including dentistry. AI technologies are increasingly being integrated into diagnostic tools, particularly in the early detection of dental diseases. Early detection is critical for improving treatment outcomes, minimizing the need for invasive procedures, and reducing healthcare costs. This paper explores the current trends in AI’s role in early dental disease detection, including machine learning, deep learning, and image processing techniques. Additionally, it examines the challenges and limitations of these technologies, along with future prospects, such as personalized treatment plans and the integration of AI into daily clinical practice.