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

NCT06712160 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 212

Last updated 2024-12-02

No results posted yet for this study

Summary

The study compares the effectiveness of Artificial Intelligence (AI), CBCT, and clinical examination in detecting root canals in upper first, upper second, and lower first molars. Results show AI detects more molars with three or four canals in conventional treatment cases and retreatment cases.

Conditions

  • Number of Root Canals

Interventions

DIAGNOSTIC_TEST

Artificial Intelligence

The number of canals detected by AI

Sponsors & Collaborators

  • Misr International University

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-01-20
Primary Completion
2024-01-20
Completion
2024-02-20

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 NCT06712160 on ClinicalTrials.gov