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AI reads gum recession from photos: could sharpen dental diagnoses

NCT ID NCT07693322

Completed Diagnosis Sponsor: Al-Azhar University Source: ClinicalTrials.gov ↗

First seen Jul 09, 2026 · Last updated Jul 10, 2026 · Updated 1 time

Summary

This study develops and tests an artificial intelligence model that analyzes standard dental photographs to detect gum recession, classify its severity, and suggest treatment options. Researchers use images from adults with visible gum recession to train the AI and compare its accuracy against expert dentists. The goal is to create a reliable tool that supports clinicians in diagnosing and managing this common dental condition.

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-Based Clinical Image Analysis Model
What this could lead to
If successful, this AI tool could help dentists detect and classify gum recession more consistently, leading to better treatment planning.
What could go wrong
This is an early-stage diagnostic model, not a treatment. Its accuracy depends on image quality and may not generalize to all patients or settings.

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Conditions

The condition(s) this trial relates to.

gingival recession

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

GINGIVAL RECESSIONS

Contacts and locations

Locations

  • Faculty of Dental Medicine for Girls, Al-Azhar University

    Cairo, Egypt

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Other studies related to the condition(s) this trial covers.