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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

Who can join

Ages 18 to 99 · All sexes

Early learner Inclusion Criteria:

* Provide informed consent
* Willing to comply with all study procedures and be available for the duration of the study
* Dental student in second, third, or fourth year of dental school at University of Michigan School of Dentistry

Late learner Inclusion Criteria:

* Provide informed consent
* Willing to comply with all study procedures and be available for the duration of the study
* Dental resident or junior faculty having at least 2 years of clinical experience outside of a dental education setting

Exclusion Criteria for participants:

* Dental students who do not have previous experience with caries detection (such as first year dental students)
* Residents that do not have frequent exposure to caries detection, such as orthodontic, periodontic, oral surgery graduate residents.

About the study

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.

What is being tested

• Review of Radiograph Images (other)

Sponsor: University of Michigan · Participants: 60 · Started: 2026-09

Contact the study team

• Carmen Boren, DDS, FAGD · Phone: 701-240-8191

Official record on ClinicalTrials.gov — NCT07648212

Locations in the U.S.

Conditions

• Tooth Decay

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.