Artificial Intelligence for Tooth Decay
What You Need to Know Before You Apply
What is the purpose of this trial?
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.
Who Is on the Research Team?
Margherita Fontana, DDS, PhD
Principal Investigator
University of Michigan
Are You a Good Fit for This Trial?
This trial is for dental students or professionals who are learning to detect early tooth decay (white spots and cavities) using X-ray images. Participants will be grouped by their experience level.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants undergo AI-assisted proximal caries detection and treatment decision-making
Follow-up
Participants are monitored for outcomes related to lesion severity and intervention effectiveness
What Are the Treatments Tested in This Trial?
Trial Overview
The study tests whether artificial intelligence can help people better spot early signs of tooth decay on dental X-rays, comparing results between less experienced and more experienced learners.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Michigan
Lead Sponsor
Delta Dental Plan of Michigan
Collaborator
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