AI reads dental x-rays to grade root canal quality

NCT ID NCT07684482

Not yet recruiting Diagnosis Sponsor: Cairo University Source: ClinicalTrials.gov ↗

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study tests an artificial intelligence system that automatically evaluates the quality of root canal fillings using dental X-rays. The AI analyzes features like filling length, uniformity, and shape, then classifies the treatment as acceptable or needing improvement. Researchers will compare the AI's results with assessments from experienced dental specialists to see if the technology can provide a reliable, consistent evaluation method.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: deep learning model
What this could lead to: If successful, this AI tool could help dentists quickly and consistently assess root canal quality, potentially improving treatment outcomes and reducing the need for repeat procedures.
What could go wrong: This is an early-stage study using existing X-rays, not a real-world test. The AI may not perform as well in different clinics or with varied image quality.

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Conditions

The condition(s) this trial relates to.

Bites and Stings

As listed by the trial registrant

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

OBTURATION QUALITY ROOT CANAL TREATMENT

More trials for these conditions

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