# Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images

> **NCT07689552** · — · COMPLETED · sponsor: **Al-Azhar University** · enrollment: 50 (actual)

## Conditions studied

- Periodontal Diseases

## Interventions

- **DIAGNOSTIC_TEST:** Artificial Intelligence-Based Keratinized Gingiva Width Assessment

## Key facts

- **NCT ID:** NCT07689552
- **Lead sponsor:** Al-Azhar University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2025-07-01
- **Primary completion:** 2026-01-09
- **Final completion:** 2026-03-15
- **Target enrollment:** 50 (ACTUAL)
- **Last updated:** 2026-07-08


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07689552

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07689552, "Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07689552. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*