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

NCT07648212 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2026-07-09

No results posted yet for this study

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.

Conditions

  • Caries,Dental

Interventions

OTHER

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.

Sponsors & Collaborators

Principal Investigators

  • Margherita Fontana, DDS, PhD · University of Michigan

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
CROSSOVER

Eligibility

Min Age
18 Years
Max Age
99 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-07-31
Primary Completion
2027-05-31
Completion
2027-05-31

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07648212 on ClinicalTrials.gov