# Diagnostic Accuracy of Artificial Intelligence, CBCT, and Clinical Examination in Detecting Number of Root Canals in Conventional and Retreated Maxillary and Mandibular Molars

> **NCT06712160** · NA · COMPLETED · sponsor: **Misr International University** · enrollment: 212 (actual)

## Conditions studied

- Number of Root Canals

## Interventions

- **DIAGNOSTIC_TEST:** Artificial Intelligence

## Key facts

- **NCT ID:** NCT06712160
- **Lead sponsor:** Misr International University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** COMPLETED
- **Start date:** 2023-01-20
- **Primary completion:** 2024-01-20
- **Final completion:** 2024-02-20
- **Target enrollment:** 212 (ACTUAL)
- **Last updated:** 2024-12-02


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06712160

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06712160, "Diagnostic Accuracy of Artificial Intelligence, CBCT, and Clinical Examination in Detecting Number of Root Canals in Conventional and Retreated Maxillary and Mandibular Molars". Retrieved via AI Analytics 2026-07-08 from https://api.ai-analytics.org/clinical/NCT06712160. Licensed CC0.

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