AI-Based Detection of Dental Caries in Children

Launched by NOURA NAGEH RAMADAN AHMED · May 14, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how an artificial intelligence (AI) system can help detect cavities (also known as dental caries) in children aged 6 to 9 years. The goal is to see if this AI technology can find cavities more accurately than traditional dental exams. Children who have at least one decayed tooth and can cooperate during the examination are eligible to participate. Unfortunately, children with certain health issues or severe dental problems that could make detection difficult will not be included.

Participants in the study will receive regular check-ups over six months to monitor their dental health and the effectiveness of the AI system. Throughout the trial, dental healthcare providers will be available to ensure that children are safe and comfortable. Parents and guardians are encouraged to share any questions or concerns they may have during the process. This study aims to improve how we detect cavities early, which can lead to better dental care for children.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Pediatric patients aged 6-9 years
• • Presence of at least one decayed tooth identified during initial screening
• • Cooperative behavior, allowing for intraoral imaging and clinical examination
• Exclusion Criteria:
• • Patients with systemic diseases or conditions affecting oral health
• • Uncooperative patients who cannot complete the examination
• • Patients with severe dental anomalies or extensive restorations that interfere with caries detection