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Comparative Accuracy of AI Models and Clinical Assessment for Dental Plaque Detection in Children

NCT06760104 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 323

Last updated 2025-01-06

No results posted yet for this study

Summary

This diagnostic accuracy study aims to evaluate the effectiveness of various artificial intelligence models in detecting dental plaque from intraoral images compared to clinical assessments performed by dentists among children. The study seeks to determine the accuracy, sensitivity, specificity, and overall performance of AI technologies in identifying dental plaque. study study Design: Observational study

Conditions

  • Dental Plaque

Interventions

DIAGNOSTIC_TEST

Dental Plaque Detection Using AI Models

1. AI Model Analysis: Description: Intraoral images of participants will be captured using standardized imaging techniques. These images will then be analyzed using various artificial intelligence models specifically designed for detecting dental plaque. The AI models will process the images to identify and quantify the presence of dental plaque. 2. Clinical Assessment: Description: A qualified dentist will perform a traditional clinical examination of the participants to assess dental plaque using standard examination techniques. This will serve as the reference standard against which the AI models will be compared. Study Procedures Image Acquisition: Intraoral images will be taken of each participant using \[ intraoral camera\]. AI Model Evaluation: The captured images will be analyzed using different AI algorithms, which may include.

Sponsors & Collaborators

  • Naema Ahmed

    lead OTHER

Principal Investigators

  • Cairo University · Cairo University

Eligibility

Min Age
7 Years
Max Age
12 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-01-01
Primary Completion
2025-12-30
Completion
2025-12-30

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 NCT06760104 on ClinicalTrials.gov