Status: Not yet recruiting
Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children
This diagnostic accuracy study aims to evaluate the effectiveness of various artificial intelligence models in detecting dental plaque from intraoral images compared to clinical assessments performed by dentists among children. The study seeks to determine the accuracy, sensitivity, specificity, and overall performance of AI technologies in identifying dental plaque. study study Design: Observational study
Participants needed: 323
Trial details
Age: 7-12Biological sex: AllType: ObservationalSponsor: Naema AhmedUpdated: Jan 6, 2025Locations: 1
Eligibility criteria
Children with developmental enamel defects [+1]