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Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth.

NCT07319182 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-01-06

No results posted yet for this study

Summary

Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging.

Conditions

  • Periapical Lesion

Interventions

OTHER

Cone beam computed tomography

Cone beam computed tomography scans to detect the presence of periapical lesion by specialized investigators.

OTHER

artificial intelligence software

artificial intelligence software that aids in diagnosis in dentistry

Sponsors & Collaborators

  • Future University in Egypt

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
SEQUENTIAL

Eligibility

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

Timeline & Regulatory

Start
2024-12-06
Primary Completion
2025-11-01
Completion
2025-12-21

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 NCT07319182 on ClinicalTrials.gov