This study aims to evaluate and compare different digital diagnostic technologies used for the detection of dental caries in clinical practice. The study focuses on assessing the diagnostic accuracy of various methods, including visual examination and digital diagnostic tools, in identifying dental caries in patients. The results will contribute to improving early detection and diagnostic strategies in dentistry.
Age range
18 Years – 65 Years
Sex
ALL
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Diagnostic accuracy of technologies for detection of dental caries
Timeframe: Baseline/ Day 1