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

ConditionCaries,Dental
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-99
SponsorUniversity of Michigan

About this trial

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 criteria

Qualifiers

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

Disqualifiers

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.

Trial design

Treatments tested in this trial

  • Review of Radiograph Images

Treatment groups

60 Participants
are divided into 2 treatment groups

Sponsors and collaborators

University of Michigan

Lead sponsor

Delta Dental Plan of Michigan

Collaborator