NCT07648212

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

Recruiting
NAAges 18–99Interventional
University of Michigan
~60 participants
Updated 2026-07-09 on ClinicalTrials.gov
What's tested:Review of Radiograph Images

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Lesion severity
Measured over approximately 1 week (2 sessions)
+6 more outcomes measured
Caries,Dental
1 sites across 1 states
Michigan1
  • Margherita Fontana, DDS, PhD · PRINCIPAL_INVESTIGATOR · University of Michigan

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Eligibility criteria

Inclusion

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

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.
  • Lesion severityapproximately 1 week (2 sessions)

    Levels for this outcome will be sound, outer enamel, inner enamel/outer dentin, inner dentin.

  • Diagnostic accuracyApproximately 1 week (2 sessions)
  • SpecificityApproximately 1 week (2 sessions)
  • Overall sensitivityApproximately 1 week (2 sessions)
  • Sensitivity for outer enamelApproximately 1 week (2 sessions)
  • Sensitivity for inner enamel/outer dentinApproximately 1 week (2 sessions)
  • Sensitivity for inner dentinApproximately 1 week (2 sessions)