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The Impact of Artificial Intelligence on Dentists' Decision-Making Process During Caries Detection

NCT07027189 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25

Last updated 2025-06-18

No results posted yet for this study

Summary

This study aims to evaluate the influence of artificial intelligence (AI) on the decision-making process for intervention after caries lesion detection. Participants will be dentists working in the Netherlands randomly divided into two groups. Dentists will be divided into two groups and receive a set of bitewing radiographs, which first will be evaluated with or without AI support according to their group. Participants will examine caries lesions on the radiographs and formulate treatment plans accordingly. Then, after a wash-out period of one month, the same radiographs, but in the opposite condition of AI support and again formulate treatment suggestions according to the present caries lesions.

Conditions

  • Artificial Intelligence (AI) in Diagnosis
  • Artificial Intelligence Supported Image Reviewing

Interventions

DIAGNOSTIC_TEST

Artificial intelligence in diagnosis

AI-based diagnostic programs have proved to enhance diagnostic performance, however research on its effects on treatment decisions is scarce. In contrast to other studies focusing on AI's accuracy or the resulting increase in dentists' accuracy, this study aims to investigate the differences in dentists' treatment recommendations when supported by AI versus when they are not during caries detection.

Sponsors & Collaborators

  • Prime Dental Alliance Eindhoven

    collaborator UNKNOWN

  • Radboud University Medical Center

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
CROSSOVER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-10-02
Primary Completion
2026-06-02
Completion
2026-06-02

Countries

  • Netherlands

Study Locations

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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 NCT07027189 on ClinicalTrials.gov