AI-Driven Innovations in Pediatric Dentistry: Enhancing Care and Improving Outcome
Nawaf Abdullah Hussein AlHarbi, Adel S. Alharbi
Abstract
Artificial intelligence (AI) is transforming pediatric dentistry by enhancing diagnostic accuracy, streamlining treatment planning, and improving behavior management. This review explores current AI applications in detecting dental anomalies, categorizing fissure sealants, assessing chronological age, and managing patient behavior. The review also identifies emerging trends and future directions in AI technology that promise to further revolutionize pediatric dental care. By synthesizing recent research and clinical studies, this review aimed to inform dental professionals and researchers about the potential of AI to address traditional challenges and improve oral health outcomes for children.
Topics & Concepts
MedicineOutcome (game theory)DentistryMathematicsMathematical economicsDental Radiography and ImagingDental Research and COVID-19Dental Health and Care Utilization