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

NCT07319182 | Completed

• 1 other identifier: (52)/11-2024
• Study Type: interventional
• Target: 100
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

artificial intelligence, periapical lesion, CBCT

Outcome Measures

Primary Outcomes (1)

• CBCT scans

  Presence of periapical lesion on CBCT scans

  1 year

Secondary Outcomes (1)

• Accuracy of Artificial intelligence software

  1 year

Study Arms (2)

cone beam computed tomography

ACTIVE COMPARATOR

detecting radiolucent periapical lesions using cone beam computed tomography

Other: Cone beam computed tomography

artificial intelligence software

ACTIVE COMPARATOR

Cone beam CT scan will be uploaded to artificial intelligence software to ensure that the software will detect radiolucent periapical lesion compared to Cone beam CT scans.

Other: artificial intelligence software

Interventions

Cone beam computed tomography OTHER

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

cone beam computed tomography

artificial intelligence software OTHER

artificial intelligence software that aids in diagnosis in dentistry

artificial intelligence software

Eligibility Criteria

• Age: 18 Years - 50 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• All patients must be medically free from any systemic disease that can affect root canal treatment.
• to 50 years old patients with permanent teeth presenting with periapical pathosis.
• No sex predilection.
• All patients must have good oral hygiene.
• Restorable teeth
• Positive patient's acceptance for participating in the study.
• Patients able to sign informed consent

You may not qualify if:

• Patients above 50 years or patients below 18 years.
• Patients with very poor oral hygiene.
• Pregnant women after taking detailed history and pregnancy test must be in the first visit.
• Psychologically disturbed patients.
• Teeth that have:
• Periodontally affected with grade 2 or 3 mobility.
• Not restorable teeth.
• Abnormal anatomy and calcified canals

Sponsors & Collaborators

• Future University in Egypt: lead

Study Sites (1)

Future University in Egypt

Cairo, Egypt

Location

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: INVESTIGATOR
• Purpose: DIAGNOSTIC
• Intervention Model: SEQUENTIAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Master Student

Study Record Dates

• First Submitted: December 21, 2025
• First Posted: January 6, 2026
• Study Start: December 6, 2024
• Primary Completion: November 1, 2025
• Study Completion: December 21, 2025
• Last Updated: January 6, 2026

Record last verified: 2025-12

Data Sharing

• IPD Sharing: Will share
• Shared Documents: STUDY PROTOCOL, ICF
• Time Frame: within 1 year from registering the study protocol
• Access Criteria: within 1 year from registering the study protocol

Locations

EG (1)