Back to Trials
NCT07648212NARecruiting

Artificial Intelligence (AI) for Proximal Caries Detection and Its Impact on Treatment Threshold

University of Michigan

Start Date

7/1/2026

Completion Date

5/1/2027

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 Criteria

Age Range: 18 years to 99 years

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.

Interventions

OTHER

Review of Radiograph Images

Interested in This Trial?

Contact the trial locations directly using the information below to learn more about enrollment.

Expressing interest lets you review the study and consent before we connect you with the research site.

Conditions

Caries,Dental

Locations

University of Michigan

Ann Arbor, Michigan 48109

United States