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Active, not recruiting Observational

Artificial Intelligence for the Diagnosis of Gingivitis

NCT07727421 · tracked via the Priya Life Science Egypt tracker
Phase
Observational
Started
2025-03-01
Last updated
2026-07-27

Condition(s) studied

Gingivitis

Investigational drug(s) / intervention(s)

Artificial intelligence Diagnostic Model

Artificial intelligence Diagnostic Model: An artificial intelligence model trained to analyze digital photographs/radiographs to automatically classify and diagnose the stages of periodontal disease

Study summary

this study aims to use AI to diagnose the stages of gingivitis

Eligibility

Sex
ALL
Min age
15 Years
Max age
50 Years
Healthy volunteers
Accepted
Inclusion Criteria: * patients in both genders within age range of 15-50 years * smokers patients * patient treated for stable systemic disease Exclusion Criteria: * pregnant women to avoid risk of panoramic x-ray * patient with active systemic diseases * patient taking antibiotics * patient receiving anticancer therapy * patient with excessive gingival hyperplasia and with extensive melanin pigmentation

Primary outcome measure(s)

  • Diagnostic Accuracy of the AI model — during the baseline clinical and radiographic assessment
    The primary outcome is to evaluate the diagnostic accuracy, sensitivity, and specificity of the AI model in detecting and staging periodontal disease compared to clinical/radiographic expert diagnosis.

Trial sites (1)

FacilityCityRegionStatus
Faculty of dental medicine ,Al-Azhar unversity Cairo الجيزة
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT07727421 on ClinicalTrials.gov ↗ ← All trials in Egypt