# Diagnostic Accuracy of a Deep Learning Framework for Automated Evaluation of Root Canal Obturation Quality From Periapical Radiographs

> **NCT07684482** · NA · NOT_YET_RECRUITING · sponsor: **Cairo University** · enrollment: 490 (estimated)

## Conditions studied

- Root Canal Treatment
- Obturation Quality

## Interventions

- **DIAGNOSTIC_TEST:** Deep learning model

## Key facts

- **NCT ID:** NCT07684482
- **Lead sponsor:** Cairo University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-08-01
- **Primary completion:** 2026-12-30
- **Final completion:** 2027-07-01
- **Target enrollment:** 490 (ESTIMATED)
- **Last updated:** 2026-07-06


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07684482

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07684482, "Diagnostic Accuracy of a Deep Learning Framework for Automated Evaluation of Root Canal Obturation Quality From Periapical Radiographs". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07684482. Licensed CC0.

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