The integration of artificial intelligence (AI) in pediatric dentistry is transforming clinical practices by enhancing diagnostic accuracy, treatment planning, and overall patient care. Advanced technologies like machine learning (ML) and deep learning (DL) are now being used to analyse radiographic images, predict the risk of dental caries, and detect anomalies early in their development. AI-powered predictive models assist in creating effective treatment plans by forecasting tooth eruption patterns and identifying malocclusions at an early stage. Tools such as virtual dental assistants and chatbot applications are also playing a vital role in patient education and appointment management, increasing engagement while reducing administrative burdens. Moreover, AI-driven data analysis enables personalized treatment approaches tailored to each child's unique needs. As these technologies continue to evolve, AI holds the promise to revolutionize pediatric dentistry by streamlining workflows, improving clinical outcomes, and strengthening evidence-based decision-making.
Keywords: Artificial Intelligence (AI), Application, Clinical Decision Support, Deep Learning (DL), Diagnostic Accuracy, Machine Learning (ML), Personalized Treatment Planning, Tooth Eruption
How to cite this article: Choudhary R, Choudhary P, Kasana J, Integrating AI into pediatric dental practice: current applications and future directions. Int J Drug Deliv Technol. 2026;16(2s): 639-644; DOI: 10.25258/ijddt.16.639-644