Artificial Intelligence to Detect Missed Root Canals in Previously Treated Lower Back Teeth Using 3D Dental Imaging (CBCT) (cone beam CT)

Future University in Egypt

Status

Invitation-only

Conditions

Presence of Missed Canals

Morphological Variation

Treatments

Procedure: Root Canal Retreatment

Study type

Interventional

Funder types

Other

Identifiers

NCT07077694

FUE.REC(47)11-2024

Details and patient eligibility

About

Aims to detect the Accuracy of Artificial Intelligence Technology in Detecting the Presence of Missed Canals of Endodontically Treated Mandibular Second Molar. Will Artificial intelligence software, CBCT and Clinical visual examination with dental operating microscope differs in the detection of presence of missed canals of endodontically treated human mandibular second molar ?

Enrollment

3 estimated patients

Sex

All

Ages

18 to 50 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

1. Patients must be medically free from any systemic disease that can affect root canal treatment.

Age range of the patient should be between 18 - 50 years old. 3) No sex predilection. 4) Patients must have good oral hygiene. 5) Patients with root canal-treated teeth. 6) Restorable teeth. 7) Positive patient acceptance for participating in the study. 8) Patients can sign informed consent.

Exclusion criteria

1. Patients with very poor oral hygiene. 2) Patients above 50 years and below 18 years. 3) Pregnant women after taking detailed history and pregnancy test must be in the first visit.

Psychologically disturbed patients. 5) Tooth periodontally affected with grade 2 or 3 mobility. 6) Non restorable teeth. 7) Tooth with abnormal anatomy and calcified canals.