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Surface Caries Feature Study

NCT07048444 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 88

Last updated 2025-07-02

No results posted yet for this study

Summary

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.

Conditions

  • Caries Active
  • Caries Root
  • Caries,Dental
  • Caries; Initial
  • Caries Assessment

Interventions

OTHER

N/A as observational study

N/A as observational study design

Sponsors & Collaborators

  • New York University

    collaborator OTHER

  • 3Shape A/S

    lead INDUSTRY

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-07-22
Primary Completion
2025-12-20
Completion
2026-03-01
FDA Device
Yes

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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 NCT07048444 on ClinicalTrials.gov