160 - Trends in Research on Artificial Intelligence in Pediatric Dentistry

Abstract:          This study explores the transformative potential of artificial intelligence (AI) within pediatric dentistry, aiming to enhance diagnostics, personalized treatment, and clinical workflows. The research identifies key themes, methodologies, and clinical applications shaping the field by conducting a comprehensive analysis of AI-related publications in pediatric dentistry via the PubMed database. 
 
         Relevant publications were identified through targeted keyword searches. The PubMed search yielded 142 articles. Each of the three investigators independently assessed the articles, evaluating the study subject, year of publication, country of origin, and funding, when available.  
 
        Following agreed upon exclusionary criteria, 86 articles were submitted for final analysis. Results illustrated an increase in AI-focused research over the past 23 years, revealing most of the research emerged from the United States and China. Over two-thirds of the publications received funding, and overall, more than 13 different categories relating to pediatric dentistry were studied.  
 
         The findings advocate for sustained research efforts to refine AI tools, emphasizing their value in achieving higher standards in oral health outcomes for children. Challenges with the use of AI persist, including data quality constraints, ethical considerations, and the need for explainability of AI decision-making to foster trust between doctors, patients, and their caregivers. This work aims to show that more studies are required to guide researchers, clinicians, and policymakers in advancing patient care quality and efficiency in pediatric dental practice through AI-driven innovations.

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