Pediatric dentistry is undergoing a transformation with the integration of artificial intelligence (AI), marking a pivotal advancement in the care and treatment of child oral health. Recent strides in AI, such as machine learning and deep learning, are setting new benchmarks for diagnostic accuracy, treatment planning, and patient management in dental care for children. These AI-driven tools not only enhance the precision in identifying dental anomalies but also introduce innovative solutions to longstanding challenges in the field. Despite these advancements, there remain critical gaps, such as the underutilization of AI in routine practices and the need for more tailored AI applications that meet the unique requirements of pediatric dental care.

The primary goal of this Research Topic is to address the persistent challenges within pediatric dentistry through the application of advanced AI technologies. Tackling issues like delayed diagnosis of dental anomalies, inefficient treatment plans, and the scarcity of personalized care options, recent developments in AI offer a promising avenue. By enhancing image recognition capabilities and predictive analytics, AI aims to improve both the accuracy and efficiency of diagnoses and treatments, thereby enhancing overall treatment outcomes and patient satisfaction. This Research Topic seeks to compile cutting-edge research and innovative methods to maximize the benefits of AI in transforming pediatric dental care.

To further our understanding in this evolving field, this Research Topic invites contributions that cover a broad spectrum of AI applications in pediatric dentistry. We encourage submissions that delve into:

▪ AI-powered diagnostic technologies
▪ Advanced AI strategies for treatment planning
▪ AI applications in behavioral management of young patients
▪ Personalization of care through AI
▪ Ethical issues and integration challenges of AI in pediatric dentistry
▪ Future potential and directions for AI technologies in the dental care of children.

We welcome a range of article types including original research, systematic reviews, case studies, and perspectives that can offer new insights and innovative solutions for pediatric dental care.

Are you interested in contributing a manuscript to this Research Topic?

Next-Generation Pediatric Dentistry: The Role of Artificial Intelligence in Diagnosis and Patient Care