Artificial Intelligence for Proximal Caries Detection and Its Impact on Treatment Threshold: Randomized Trial
University of Michigan
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
- Age range
- 18–99 years
- Sex
- All
- Healthy volunteers
- No
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…
Interventions
- OtherReview of Radiograph Images
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.
Location
- University of MichiganAnn Arbor, Michigan