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AI-Based Detection of Dental Caries in Children

NCT06984029 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2025-05-28

No results posted yet for this study

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 research is to better understand how AI may help improve the accuracy and reliability of early dental caries detection compared to traditional clinical examination methods. Participants in this study will be pediatric patients aged 6-9 years, and they will undergo clinical evaluations for dental caries. The study will compare the AI system's performance to conventional clinical examination in terms of sensitivity, specificity, and overall diagnostic accuracy. The progress of participants will be monitored over a period of six months, with regular assessments of their caries detection results. The study will assess the effectiveness, reproducibility, and diagnostic accuracy of the AI model. Throughout the study, participants will be closely monitored by dental healthcare providers to ensure their safety and well-being. Participants and their guardians are encouraged to communicate any concerns or questions with the study team.

Conditions

  • Dental Caries

Sponsors & Collaborators

  • Noura Nageh Ramadan Ahmed

    lead OTHER

Eligibility

Min Age
6 Years
Max Age
9 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-06-30
Primary Completion
2026-06-30
Completion
2026-07-31

Countries

  • Egypt

Study Locations

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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 NCT06984029 on ClinicalTrials.gov