Abstract

bstract The use of Artificial Intelligence (AI) in the field of pediatric dentistry is rapidly evolving, offering significant advancements in diagnosis, treatment planning, patient management, and educational efforts. The integration of AI tools such as machine learning, deep learning, and natural language processing can potentially improve clinical outcomes, reduce diagnostic errors, and make dental procedures more efficient and accurate. This systematic review examines the current applications, benefits, challenges, and future prospects of AI in pediatric dentistry. Through a comprehensive analysis of the available literature, we explore how AI technologies are transforming pediatric dental care and their implications for both practitioners and patients. This review aims to provide a thorough understanding of the potential of AI in pediatric dentistry, its limitations, and the way forward for its widespread adoption.