AI-Based Detection of Dental Caries in Children

This study aims to evaluate the effects of an artificial intelligence (AI)-based caries detection system on the diagnosis and categorization of dental caries in pediatric patients. The purpose of this research is to better understand how AI may help improve the accuracy and reliability of early dental caries detection compared to traditional clinical examination methods. Participants in this study will be pediatric patients aged 6-9 years, and they will undergo clinical evaluations for dental caries. The study will compare the AI system's performance to conventional clinical examination in terms of sensitivity, specificity, and overall diagnostic accuracy. The progress of participants will be monitored over a period of six months, with regular assessments of their caries detection results. The study will assess the effectiveness, reproducibility, and diagnostic accuracy of the AI model. Throughout the study, participants will be closely monitored by dental healthcare providers to ensure their safety and well-being. Participants and their guardians are encouraged to communicate any concerns or questions with the study team.

NCT Number	NCT06984029
Lead Sponsor	Noura Nageh Ramadan Ahmed
Conditions	Dental Caries
Enrollment	100 participants
Start Date	2025-06
Primary Completion	2026-06 (estimated)
Study Completion	2026-07 (estimated)
Updated on ClinicalTrials.gov	2025-05-28