Clinical Trial

On Previously Root Canal-treated Patients Using an AI Program, Detect the Accuracy of it in the Detection of Root Canal Obturation Quality on CBCT Compared With Conventional PA Radiography, e.g., Voids, Length of Obturation, and Density, and Then do Retreatment if Any Failure is Recorded.

Study acronym: AI
Enrolling by Invitation
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Record status
This record was last updated July 9, 2025 (before its estimated September 30, 2025 completion). Its status may not reflect the trial's current state.
Summary
aims to evaluate the accuracy of clinicians (conventional radiograph) compared to cone beam computed tomography (CBCT) and artificial intelligence software's ability to identify the quality of root canal obturation. Will the use of artificial intelligence software be compared to conventional software in accuracy?
Trial Details
NCT Number NCT07056998
Lead Sponsor Tala Ghassan Hassan Odeh
Conditions Root Canal Treatment
Enrollment 3 participants
Start Date 2025-04-01
Primary Completion 2025-09-30 (estimated)
Study Completion 2025-10-30 (estimated)
Updated on ClinicalTrials.gov 2025-07-09