On Previously Root Canal-treated Patients Using an AI Program, Detect the Accuracy of it in the Detection of Root Canal Obturation Quality on CBCT Compared With Conventional PA Radiography, e.g., Voids, Length of Obturation, and Density, and Then do Retreatment if Any Failure is Recorded.

Accuracy of Artificial Intelligence Technology in Detecting the Quality of Endodontic Treatment Diagnostic Accuracy Experimental Study.

aims to evaluate the accuracy of clinicians (conventional radiograph) compared to cone beam computed tomography (CBCT) and artificial intelligence software's ability to identify the quality of root canal obturation. Will the use of artificial intelligence software be compared to conventional software in accuracy?

AI is a new method used in the medical field, specifically dentistry. aiming to detect the accuracy of AI in the field of endodontics, specifically in root canal quality (correct length, density, taper, and coronal seal) compared to the skill of the endodontist using 2D radiograph and CBCT, and if any signs and symptoms of failure are detected in the treatment, retreatment is done according to the needs of each case.

Inclusion Criteria:

1. Medically free patients with no systemic disease: (American Society of Anesthesiologists / (ASA Class I or II).
2. Age range is between18 to 50 years
3. No sex predilection.
4. All 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 and lactating women 4-Psychologically disturbed patients. 5-nonrestorable teeth.