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AI takes on orthodontic diagnosis: can it match expert dentists?

NCT ID NCT07690774

Completed Diagnosis Sponsor: Ben Hafeed Dental Center Source: ClinicalTrials.gov ↗

First seen Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study compares an artificial intelligence (AI) system called WebCeph with the traditional way orthodontists diagnose and plan treatment for misaligned teeth (malocclusion). Researchers will use routine dental records from 120 new patients aged 12 and older. Each case will be assessed by both the AI and a conventional method, and an expert panel of orthodontists will decide the correct diagnosis. The main goal is to see how often the AI agrees with the experts on classifying the type of bite problem.

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-assisted diagnostic workflow (WebCeph)
What this could lead to
If successful, AI could help orthodontists diagnose and plan treatments faster and more consistently, potentially improving patient outcomes.
What could go wrong
This is a single-center study with 120 participants, so results may not apply broadly. AI may not match expert judgment in all cases, and it does not replace the treating orthodontist's final decision.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

autosomal dominant prognathism malocclusion due to protuberant upper front teeth Malocclusion, Angle Class I Malocclusion, Angle Class II

As listed by the trial registrant

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

MALOCCLUSION, ANGLE CLASS I MALOCCLUSION, ANGLE CLASS II MALOCCLUSION, ANGLE CLASS III

Contacts and locations

Locations

  • Ben Hafeed Dental Center

    Sanaa, Yemen

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