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

RecruitingNAAges 18 Years - 99 YearsAllUniversity of Michigan
NCT07648212 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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.

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📋 Eligibility rules (as published)
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 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.
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What it tests

  • Review of Radiograph Images
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Where

1 site
University of Michigan
Ann Arbor, United States
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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