AI vs. cavities: could a computer help dentists see decay sooner?
NCT ID NCT07648212
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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University of Michigan
Ann Arbor, Michigan, 48109, United States
Contact Email: •••••@•••••
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