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Artificial Intelligence (AI) for Proximal Caries Detection and Its Impact on Treatment Threshold
Sponsor: 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.
Official title: Artificial Intelligence for Proximal Caries Detection and Its Impact on Treatment Threshold: Randomized Trial
Key Details
Gender
All
Age Range
18 Years - 99 Years
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2026-10-05
Completion Date
2027-05
Last Updated
2026-10-14
Healthy Volunteers
No
Conditions
Interventions
Review 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.
Locations (1)
University of Michigan
Ann Arbor, Michigan, United States