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

Part of paid clinical trials in Ann Arbor, Michigan.

Sponsor
University of Michigan
Study ID
NCT07648212
Status
Recruiting
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Conditions

  • Caries,Dental

Eligibility Criteria

Sex
ALL
Age
18 Years - 99 Years
Healthy Volunteers
Not accepted

Interventions

  • Review of Radiograph Images — OTHER
    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.

Study Details

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.

Key Dates

First listed
Jun 15, 2026
Start date
Jul 31, 2026
Status verified
Jul 2026
Primary completion
May 31, 2027
Completion
May 31, 2027

Study Design

Enrollment
60 participants (estimated)
Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER

Arms

  • Other: Early Learners - Dental students
  • Other: Late Learners - Dental resident or junior faculty

Primary Outcome Measure

Lesion severity [ Time Frame: approximately 1 week (2 sessions) ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University of MichiganAnn ArborMichigan48109
Carmen Boren
[email protected]
Margherita Fontana, DDS, PhD (PRINCIPAL_INVESTIGATOR)

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University of Michigan· Ann Arbor, MI

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