AI vs. cavities: could a computer help dentists see decay sooner?

NCT ID NCT07648212

Recruiting now Knowledge-focused Sponsor: University of Michigan Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jul 10, 2026 · Updated 2 times

Summary

This study tests whether artificial intelligence (AI) can improve how dental students and experienced dentists detect cavities on X-rays. About 60 participants will view dental X-rays, some enhanced by AI and some not, and answer questions about what they see. The goal is to see if AI helps people make more accurate diagnoses and treatment decisions.

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 software for radiograph enhancement
What this could lead to: If AI improves cavity detection, it could help dentists catch decay earlier and reduce unnecessary or missed treatments.
What could go wrong: This is a small, early-stage study with 60 participants. AI may not improve accuracy for all users, and results may not apply to real-world dental practice.

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.

dental caries

As listed by the trial registrant

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

CARIES, DENTAL

Contacts and locations

Locations

University of Michigan
RECRUITING

Ann Arbor, Michigan, 48109, United States

More trials for these conditions

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