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The Impact of Artificial Intelligence on Dentists' Decision-Making Process During Caries Detection
Sponsor: Radboud University Medical Center
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.
Official title: DECIDE-AI:The Impact of Artificial Intelligence on Dentists' Decision-Making Process During Caries Detection: A Randomized Controlled Study
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
25
Start Date
2025-10-02
Completion Date
2026-06-02
Last Updated
2025-06-18
Healthy Volunteers
Yes
Conditions
Interventions
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.
Locations (1)
Department of Dentistry Radboud Uniersity Medical Center
Nijmegen, Gelderland, Netherlands