Digital and AI tools for detecting dental cavities in adults
Official title: Assessment and Comparison of Diagnostic Technologies for the Detection of Dental Caries in Clinical Practice
Run by University Hospital, Martin · NCT07560514 · Data updated 2026-11-12
This project will test whether digital and AI-based tools can detect dental cavities more accurately than standard visual exams and bitewing X-rays in adults with permanent teeth.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 65 Years |
| Sex | All |
| Enrollment | 100 (estimated) |
| Sponsor | University Hospital, Martin Academic / other |
| Locations | 1 site (Martin, Žilina Region) |
| Status | Recruiting |
| Started | November 30, 2025 |
| Main results expected | May 2026 |
| Study ends | August 2026 |
| Registry record updated | May 1, 2026 |
| Trial ID | NCT07560514 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18–65 with permanent teeth and existing primary or secondary carious lesions who can undergo bitewing radiographs and agree to photodocumentation and use of AI-based diagnostic methods are ideal candidates.
✕Probably not a fit
Patients with extensive crown destruction, lesions reaching the pulp or threatening pulp vitality, fixed prosthetic restorations in the examined area, inability/refusal to have radiographs, or those outside the 18–65 age range are unlikely to benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is an observational clinical comparison of conventional diagnostic methods and selected digital diagnostic technologies, including AI-based tools such as DIAGNOcam, for detecting dental caries. Adults aged 18–65 who have permanent dentition and existing primary or secondary carious lesions will undergo visual examination, bitewing radiographs, photodocumentation, and the selected digital assessments. Diagnostic performance of each method will be analyzed and compared against other methods to determine sensitivity, specificity, and practical utility in routine practice. The study takes place in clinical settings including a university hospital and affiliated dental clinic to reflect real-world workflow and patient populations.
Why it matters
Potential benefit: If successful, the findings could lead to earlier and more accurate cavity detection, enabling less invasive treatments and better prevention.
How similar studies have gone: Previous research has shown promising but mixed results for digital imaging and AI in caries detection, so real-world comparative data like this are still needed.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age 18-65 years * Presence of permanent dentition only * Presence of primary or secondary carious lesions * Presence of all teeth in the lateral segment (teeth 4-7) in both maxilla and mandible * Signed informed consent including agreement with photodocumentation, bitewing radiographs, and use of AI-based diagnostic methods (including DIAGNOcam) Exclusion Criteria: * Age under 18 or over 65 years * Extensive crown destruction affecting more than two-thirds of the tooth * Carious lesions reaching the dental pulp or threatening pulp vitality * Inability or refusal to undergo radiographic examination (bitewing radiographs) * Teeth with fixed prosthetic restorations in the examined area Refusal to participate or to use AI-based diagnostic methods (including DIAGNOcam)
Where it's running
-
Jessenius Faculty of Medicine
Martin, Žilina Region, Slovakia Recruiting
Study contacts
- Study coordinator: Michal Augustín, MDDr.
- Email: augustin24@uniba.sk
- Phone: +421903442708
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.