Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children
ConditionDental Plaque
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age7-12
SponsorNaema Ahmed
About this trial
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
Eligibility criteria
Qualifiers
None
Disqualifiers
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.
Trial design
Treatments tested in this trial
- Dental Plaque Detection Using AI Models
Treatment groups
323 Participants
are divided into 2 treatment groupsSponsors and collaborators
Naema Ahmed
Lead sponsor
Cairo University
Sponsor institution
Source ClinicalTrials.gov