Recruiting

Artificial Intelligence

Sponsor:

University of Michigan

Code:

NCT07648212

Conditions

Caries,Dental

Eligibility Criteria

Sex: All

Age: 18 - 70+

Healthy Volunteers: Not accepted

Interventions

Review of Radiograph Images

Study Details

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.

Conditions

Caries,Dental

Study ID

NCT07648212

Start date

Sep, 2026

Status verified date

Aug, 2026

Completion date

May, 2027

Anticipated

Primary completion date

May, 2027

Anticipated

Eligibility Criteria

Eligibility Criteria

Sex: All

Age: 18 - 70+

Healthy Volunteers: Not accepted

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.

Study Design

Enrollment

60 participants

Anticipated

Allocation

Randomized

Intervention Model

Crossover

Primary purpose

Other

Interventions and Outcome Measures

Arms

other: Early Learners - Dental students

other: Late Learners - Dental resident or junior faculty

Interventions

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.

Primary outcome measure

  • Lesion severity [ Time Frame: approximately 1 week (2 sessions) ]
  • Diagnostic accuracy [ Time Frame: Approximately 1 week (2 sessions) ]
  • Specificity [ Time Frame: Approximately 1 week (2 sessions) ]
  • Overall sensitivity [ Time Frame: Approximately 1 week (2 sessions) ]
  • Sensitivity for outer enamel [ Time Frame: Approximately 1 week (2 sessions) ]
  • Sensitivity for inner enamel/outer dentin [ Time Frame: Approximately 1 week (2 sessions) ]
  • Sensitivity for inner dentin [ Time Frame: Approximately 1 week (2 sessions) ]

Central Contacts and Locations

Central contacts

Carmen Boren, DDS, FAGD

701-240-8191drcarmen@umich.edu

Locations

University of Michigan

Recruiting

Ann Arbor, Michigan, United States, 48109

Contacts

Carmen Boren

drcarmen@umich.edu

Principal Investigator:

Margherita Fontana, DDS, PhD

More Information

Sponsor

University of Michigan

Last update posted

Aug 28, 2026

Last verified

Aug, 2026

Keywords

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

Trial information was received from ClinicalTrials.gov and was last updated on 2026-09-10. This information was provided to ClinicalTrials.gov by University of Michigan on 2026-08-28.