Manejo de conducta en pacientes pediátricos utilizando inteligencia artificial

Abstract

This review aims to objectively and impartially investigate and evaluate how AI is integrated into behavioral management in pediatric dentistry, comparing it with traditional techniques. Materials and Methods: Following the PRISMA methodology, searches were conducted in electronic databases such as PubMed, Scopus, Taylor & Francis, and Web of Science. Studies in English and Spanish from 2019 to 2024 were included. The selected references were reviewed to identify additional studies meeting the inclusion criteria. MESH terms, Decs, and free terms were used, along with Boolean operators OR, AND, and NOT. Results: Various authors report that AI is frequently used in pediatric dentistry for precise diagnoses and to assist clinicians, dentists, and pediatric dentists in clinical decision-making and behavior conditioning to improve cooperation during treatment. Conclusion: Artificial intelligence is a suitable tool for managing the behavior of pediatric dental patients, though it has not been fully researched yet. New technologies, such as educational chatbots, virtual reality, augmented reality, and image analysis, help pediatric patients feel more secure and cooperate better during dental visits. These technologies also improve individualized diagnostics and treatments, providing better dental care that is less invasive and stressful. Keywords: artificial intelligence, pediatric dentistry, behavior, deep learning, neural intelligence