NCT07319182

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

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

• Status: Completed
• Phase: N/A
• Study type: Interventional
• Enrollment: 100 (actual)
• Sponsor: Future University in Egypt · Academic / Other
• Sex: All
• Age: 18 Years – 50 Years
• Healthy volunteers: Accepted

Summary

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

Detailed description

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.

Conditions

• Periapical Lesion

Interventions

Type	Name	Description
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

Timeline

• Start date: 2024-12-06
• Primary completion: 2025-11-01
• Completion: 2025-12-21
• First posted: 2026-01-06
• Last updated: 2026-01-06

Locations

1 site across 1 country: Egypt