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

University of Michigan60 enrolled

Overview

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.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

OTHER

Masking

SINGLE

Enrollment

Conditions

Caries,Dental

Interventions

Review of Radiograph ImagesOTHER

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.

Eligibility

Sex: ALLMin age: 18 YearsMax age: 99 Years

Medical Language ↔ Plain English

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.

Locations (1)

University of Michigan

Ann Arbor, Michigan, United States

RECRUITING

Outcomes

Primary Outcomes

Lesion severity

Levels for this outcome will be sound, outer enamel, inner enamel/outer dentin, inner dentin.

Time frame: approximately 1 week (2 sessions)

Diagnostic accuracy