Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children

Launched by NAEMA AHMED · Jan 3, 2025

Keywords

ClinConnect Summary

This clinical trial is exploring how well different artificial intelligence (AI) models can detect dental plaque in children compared to the assessments made by dentists. The goal is to find out if AI can accurately identify plaque when looking at images of children's teeth, which is important for maintaining good oral health. The trial will involve children aged 7 to 12 years who have teeth without metal crowns or fillings.

If your child participates, they will have their dental images taken, which will help researchers see how well the AI works. However, some children may not be eligible, such as those with certain dental conditions or those who may have difficulty cooperating during the process. This study is not currently recruiting participants, but it aims to improve how dental care is provided to children in the future by using advanced technology.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • .Study participants: Children within age range (7-12) years old. .Teeth without metal crowns or amalgam restoration.
• Exclusion Criteria:
• • Children with developmental enamel defects
• • Children who are unwilling to cooperate or who has mental retardation and are prohibited from having their images taken. .Children who's their legal guardians will not approve to participate in the study.