Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study (AI)

to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.

Study Overview

• Status: Completed
• Conditions: Detecting Number of Root Canal of Human Mandibular Second Molar
• Intervention / Treatment: Procedure: CBCT; Procedure: AI

• Study Type: Interventional
• Enrollment (Actual): 40
• Phase: Not Applicable

Contacts and Locations

Study Locations

• Egypt
  • Cairo, Egypt
    • Future University Dental Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult
• Accepts Healthy Volunteers: Yes

Description

Inclusion Criteria:

-

A- Inclusion criteria:

1. Patients must be medically free from any systemic disease that can affect root canal treatment.
2. Age range of the patients should be 18-40 with permanent mandibular second molars indicated for root canal treatment.
3. No sex predilection.
4. 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.

B- Exclusion criteria:

1. Lower second molars which are non-restorable, having large perforations, external root resorption, vertical root fracture, internal root resorption, grade 2/3 mobility, previous successful/non-successful root canal treatment
2. Pregnant women after taking detailed history and pregnancy test must be in the first visit.

3. Psychologically disturbed patients.

   Teeth that have:

   • Periodontally affected with grade 2 or 3 mobility. 12

   • Not restorable teeth.

   • Abnormal anatomy and calcified canals.

   • Previous root canal treatment.

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Diagnostic
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: Double

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: morphology of canals in lower second mandibular molar; Anatomical variations in root canal systems, such as the presence of an additional root canal, are common, and failure to detect all canals can lead to treatment failure.	Procedure: CBCT; CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software
Experimental: Number of canals in lower second mandibular molar	Procedure: AI; Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Number of root canals detected	Detected by AI software	within one year

Collaborators and Investigators

• Sponsor: Future University in Egypt

Study record dates

Study Major Dates

• Study Start (Actual): November 29, 2024
• Primary Completion (Actual): November 29, 2025
• Study Completion (Actual): December 20, 2025

Study Registration Dates

• First Submitted: December 21, 2025
• First Submitted That Met QC Criteria: December 21, 2025
• First Posted (Actual): January 6, 2026

Study Record Updates

• Last Update Posted (Actual): January 6, 2026
• Last Update Submitted That Met QC Criteria: December 21, 2025
• Last Verified: December 1, 2025

More Information

Terms related to this study

• Other Study ID Numbers: FUE.REC (46)/11-2024

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: YES
• IPD Sharing Time Frame: with in one year
• IPD Sharing Supporting Information Type: STUDY_PROTOCOL; ICF

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No