Diagnostic Accuracy of Artificial Intelligence Analysis Using Intraoral Photographs Versus Clinical Examination in White Spot Lesions Detection, Identification, And Scoring.
Sponsor: Cairo University
Trial Details
| Condition | White Spot Lesion of Tooth |
| Intervention | Artificial Intelligence models (YOLO and MASK-RCNN) |
| Status | Not_yet_recruiting |
| Participants | 329 |
| Est. Completion | 1 July 2027 |
| Last Updated | 10 June 2026 |
Primary Outcome
Artificial Intelligence diagnostic accuracy in White Spot Lesions Detection
Eligibility Criteria
Inclusion Criteria
Inclusion Criteria: 1. Adult patients aged 20 - 60 years 2. Males or Females 3. Patients with white spot lesions of teeth 4 - Co-operative patients with interest in participation in the study Exclusion Criteria: 1. Patients with orthodontic appliances or bridgework that might interfere with evaluation and assessment 2. Patients with no white spot lesions 3. Patients with systematic diseases that might affect participation 4. Patients refusing to sign the informed consent or not willing to be part of the study
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