Assessment of Digital Technologies for Detection of Dental Caries
Assessment and Comparison of Diagnostic Technologies for the Detection of Dental Caries in Clinical Practice
1 other identifier
interventional
100
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Nov 2025
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
November 30, 2025
CompletedFirst Submitted
Initial submission to the registry
April 7, 2026
CompletedFirst Posted
Study publicly available on registry
May 1, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
August 1, 2026
ExpectedMay 1, 2026
April 1, 2026
5 months
April 7, 2026
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Diagnostic accuracy of technologies for detection of dental caries
Assessment of sensitivity and specificity of diagnostic methods (including visual examination, intraoral imaging, radiographic methods (Bitewings), AI -based analysis and transillumination) compared to clinical references standard (cavity opening).
Baseline/ Day 1
Study Arms (1)
Single diagnostic arm
EXPERIMENTALAll participants undergo diagnostic assessment of dental caries using digital technologies (e.g., intraoral imaging, radiographic methods, and/or AI-based analysis, transillumination Diagnocam), followed by clinical verification through operative intervention (cavity opening).
Interventions
Diagnostic assessment of dental caries using digital technologies, including intraoral imaging, radiographic methods, AI based analysis and transillumination (Diagnocam), followed by clinical verification
Eligibility Criteria
You may qualify if:
- 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)
You may not qualify if:
- 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Jessenius Faculty of Medicine
Martin, Žilina Region, 03601, Slovakia
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 7, 2026
First Posted
May 1, 2026
Study Start
November 30, 2025
Primary Completion
May 1, 2026
Study Completion (Estimated)
August 1, 2026
Last Updated
May 1, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share
Individual participant data will not be shared with other researchers. Data will be used solely for the purposes of this study and analyzed using diagnostic technologies, including AI-based methods, in accordance with applicable data protection regulations.