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
Jul 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
Inclusion Criteria6
- 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
- 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 Criteria2
- 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.
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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)
View Full Details on ClinicalTrials.gov
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NCT07648212