Artificial Intelligence (AI) for Proximal Caries Detection and Its Impact on Treatment Threshold
Artificial Intelligence for Proximal Caries Detection and Its Impact on Treatment Threshold: Randomized Trial
University of Michigan
60 participants
Sep 1, 2026
INTERVENTIONAL
Conditions
Summary
The purpose of this study is to assess the impact of artificial intelligence on proximal caries detection and subsequent treatment decisions of early learners and compare those with outcomes of experienced learners.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
Participants will be asked to attend two visits and view a randomized series of dental radiographs (10 at each visit). Participants will answer a set of questions for each image reviewed. Some of the radiographs will have an Artificial Intelligence enhancement and some will not. Participants will be asked to return within about one week of the first visit to view the second set of x-rays and answer the survey questions.
Locations(1)
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NCT07648212