AI trained to spot hidden tooth infections on routine x-rays

NCT ID NCT05888935

Recruiting now Diagnosis Sponsor: Centre Hospitalier Régional Metz-Thionville Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing whether an artificial intelligence program can detect periapical lesions (infections at the tip of a tooth root) on common panoramic dental X-rays. The AI is trained using 3D cone-beam CT scans as the gold standard. Researchers will enroll 2000 patients who have had both types of imaging within three months. If the AI works well, it could help dentists catch these infections earlier without needing more advanced scans.

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 algorithm
What this could lead to: If successful, this AI could help dentists find hidden tooth infections earlier using a common, low-radiation X-ray, potentially reducing the need for more advanced scans.
What could go wrong: This is an early-stage algorithm test, not a treatment. The AI may not be accurate enough in real-world use, and the study only includes patients who already had both types of scans.

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Conditions

The condition(s) this trial relates to.

Periapical Diseases

As listed by the trial registrant

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

PERIAPICAL DISEASES

Contacts and locations

Locations

CHR Metz-Thionville/Hopital de Mercy
RECRUITING

Metz, 57085, France

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