Status:
NOT_YET_RECRUITING
AI-Based Detection of Dental Caries in Children
Lead Sponsor:
Noura Nageh Ramadan Ahmed
Conditions:
Dental Caries
Eligibility:
All Genders
6-9 years
Brief Summary
This study aims to evaluate the effects of an artificial intelligence (AI)-based caries detection system on the diagnosis and categorization of dental caries in pediatric patients. The purpose of this...
Detailed Description
Background: Dental caries is a prevalent oral health issue among children, affecting their quality of life and overall health. Early detection is critical for the effective management and prevention ...
Eligibility Criteria
Inclusion
- Pediatric patients aged 6-9 years
- Presence of at least one decayed tooth identified during initial screening
- Cooperative behavior, allowing for intraoral imaging and clinical examination
Exclusion
- Patients with systemic diseases or conditions affecting oral health
- Uncooperative patients who cannot complete the examination
- Patients with severe dental anomalies or extensive restorations that interfere with caries detection
Key Trial Info
Start Date :
June 1 2025
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
July 1 2026
Estimated Enrollment :
100 Patients enrolled
Trial Details
Trial ID
NCT06984029
Start Date
June 1 2025
End Date
July 1 2026
Last Update
May 28 2025
Active Locations (1)
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1
Pediatric Dentistry Department, Faculty of Dentistry, Cairo University
Cairo, Egypt