AI dentist: computer vision takes on white spot lesions
NCT ID NCT07639749
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study compares artificial intelligence analysis of dental photographs to standard clinical exams for detecting white spot lesions—early signs of tooth decay. Researchers will train AI models (YOLO and Mask-RCNN) on 329 labeled images from adult patients at Cairo University Dental Hospital. The goal is to see if AI can match the accuracy of experienced dentists in identifying and scoring these lesions.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence models (YOLO and MASK-RCNN) analyzing intraoral photographs
- What this could lead to
- If successful, this could provide a faster, more consistent way to detect early tooth decay using photos instead of in-person exams.
- What could go wrong
- This is an early observational study, not a treatment trial. The AI may not perform as well as human dentists, and results may not apply to other populations or settings.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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