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

Artificial Intelligence for Proximal Caries Detection and Its Impact on Treatment Threshold: Randomized Trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07648212
Enrollment
60
Registered
2026-06-15
Start date
2026-09-01
Completion date
2027-05-01
Last updated
2026-08-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Caries,Dental

Keywords

Artificial intelligence, Dental students (years 2-4), Dental resident or junior faculty

Brief 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.

Interventions

OTHERReview 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

University of Michigan
Lead SponsorOTHER
Delta Dental Plan of Michigan
CollaboratorUNKNOWN

Study design

Allocation
RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
OTHER
Masking
SINGLE (Subject)

Masking description

Radiographs will be selected from an ongoing longitudinal cohort study pool comprised of 1172 de-identified mixed dentition (up to the age of 12) images. Participants will view and diagnose a randomized set of x-rays in a clinical environment. There will be 30 early learners and 30 late learners enrolled.

Intervention model description

This proposed study is designed to compare a binary outcome (overall diagnostic accuracy, and surgical restorative intervention vs. non-surgical restorative/no intervention) between evaluations with AI and without AI. The comparisons are made separately for early learners and late learners.

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

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.

Design outcomes

Primary

MeasureTime frameDescription
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)

Secondary

MeasureTime frameDescription
Interventionapproximately 1 week (2 sessions)(levels for this outcome will be none, non-restorative, restorative)

Countries

United States

Contacts

CONTACTCarmen Boren, DDS, FAGD
drcarmen@umich.edu701-240-8191
PRINCIPAL_INVESTIGATORMargherita Fontana, DDS, PhD

University of Michigan

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Aug 29, 2026