Surface Caries Feature Study

Dental caries (dental cavity) is very common and can impact oral health and oral health-related quality of life. Dental caries is when the tooth surfaces break down, and if left untreated, can cause tooth pain. In routine clinical practice, dental professionals typically assess caries lesions by looking at patients' teeth, touching the areas of interest with a dental probe, and running a probe over the teeth to check the buildup of bacteria. Dentists often use x-rays to help find cavities, and they can also take pictures of the teeth to show what the problem looks like. New tools called intraoral scanners are becoming more useful for finding cavities. These scanners do not use radiation and do not hurt. Some computer programs that use artificial intelligence (AI) can also help dentists find cavities. AI can study the spots on patients' teeth and help make better, faster decisions. The purpose of this study is to collect data that will be used to develop and test an AI software that can help dentists in the detection of caries.

NCT Number	NCT07048444
Lead Sponsor	3Shape A/S Collaborators: New York University
Conditions	Caries Active, Caries Root, Caries,Dental, Caries; Initial, Caries Assessment
Enrollment	88 participants
Start Date	2025-07-22
Primary Completion	2025-12-20 (estimated)
Study Completion	2026-03-01 (estimated)
Updated on ClinicalTrials.gov	2025-07-02