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
Conditions
Caries,Dental
Locations
University of Michigan
Ann Arbor, Michigan 48109
United States