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

N/ACompletedNCT07319182

Future University in Egypt100 enrolled

Overview

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

In this research, patients referred to endodontic department in the university will undergo clinical examination (percussion, palpation) tests. These will be recorded. Then the patient will undergo a periapical radiograph to detect the presence of periapical lesion. Patients with periapical lesions will then undergo a cone beam computed tomography and this scan will be uploaded into the Artificial intelligence software to detect the accuracy of the software in detecting the presence of the periapical lesion. Any patient with a periapical lesion in need of root canal treatment will undergo the treatment.

Study Type

INTERVENTIONAL

Allocation

RANDOMIZED

Purpose

DIAGNOSTIC

Masking

SINGLE

Enrollment

100

Conditions

Periapical Lesion

Interventions

Cone beam computed tomographyOTHER

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

artificial intelligence softwareOTHER

artificial intelligence software that aids in diagnosis in dentistry

Eligibility

Sex: ALLMin age: 18 YearsMax age: 50 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: 1. All patients must be medically free from any systemic disease that can affect root canal treatment. 2. 18 to 50 years old patients with permanent teeth presenting with periapical pathosis. 3. No sex predilection. 4. All patients must have good oral hygiene. 5. Restorable teeth 6. Positive patient's acceptance for participating in the study. 7. Patients able to sign informed consent Exclusion Criteria: 1. Patients above 50 years or patients below 18 years. 2. Patients with very poor oral hygiene. 3. Pregnant women after taking detailed history and pregnancy test must be in the first visit. 4. Psychologically disturbed patients. Teeth that have: * Periodontally affected with grade 2 or 3 mobility. * Not restorable teeth. * Abnormal anatomy and calcified canals

Locations (1)

Future University in Egypt

Cairo, Egypt

Outcomes

Primary Outcomes

CBCT scans

Presence of periapical lesion on CBCT scans

Time frame: 1 year

Secondary Outcomes

Accuracy of Artificial intelligence software

Comparing results from CBCT scans to Artificial intelligence software in detection of periapcial lesions.

Time frame: 1 year

Data from ClinicalTrials.gov

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