Artificial Intelligence in Pediatric Dentistry: Are Chatbots Aligned With AAPD Caries Risk Assessment Guideline?

Objectives This study evaluated the accuracy and guideline alignment of artificial intelligence (AI)–based chatbots in pediatric caries risk assessment and management by comparing their recommendations with the American Academy of Pediatric Dentistry (AAPD) caries risk assessment guideline using simulated pediatric cases. Materials and Methods A case-based comparative study was conducted using 12 simulated pediatric patient profiles representing low, moderate, and high caries risk categories constructed according to the AAPD guideline. Five AI chatbots—ChatGPT-5.2 (Plus), ChatGPT-4o (Free), Microsoft Copilot, Google Gemini 1.5, and Claude—were evaluated. A standardized prompt instructed each chatbot to assess caries risk, recommend clinical and radiographic follow-up frequency, propose preventive interventions, and outline restorative approaches based on the AAPD guideline. Each case was presented to each chatbot on three separate days, generating 1,080 responses. Outputs were evaluated using a guideline-based scoring rubric by an experienced pediatric dentist. Statistical analyses included chi-square tests for between-chatbot comparisons and Friedman tests for within-model consistency ( p  < 0.05). Results No significant differences were observed among the chatbots in caries risk classification ( p  = 0.059). However, significant differences were found in clinical follow-up recommendations ( p  = 0.013) and preventive interventions. Claude demonstrated higher accuracy in dietary counseling and fluoride therapy ( p  = 0.001; p  = 0.010), while Gemini and Copilot performed better in fissure sealant recommendations ( p  = 0.006). No differences were observed in restorative treatment recommendations ( p  = 0.480). Conclusions AI chatbots were generally capable of identifying pediatric caries risk levels; however, inconsistencies were observed when translating risk status into guideline-based follow-up and preventive recommendations. Clinical Relevance: AI chatbots may support dental education and preliminary clinical decision-making in pediatric dentistry, but their recommendations should be interpreted cautiously and cannot replace professional clinical judgment.