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

NCT ID: NCT07319221

Last Updated: 2026-01-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

40 participants

Study Classification

INTERVENTIONAL

Study Start Date

2024-11-29

Study Completion Date

2025-12-20

Brief Summary

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

Detailed Description

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Conditions

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Detecting Number of Root Canal of Human Mandibular Second Molar

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

DOUBLE

Participants Outcome Assessors

Study Groups

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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.

Group Type EXPERIMENTAL

CBCT

Intervention Type PROCEDURE

CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software

Number of canals in lower second mandibular molar

Number of canals in lower second mandibular molar

Group Type EXPERIMENTAL

AI

Intervention Type PROCEDURE

Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT

Interventions

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AI

Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT

Intervention Type PROCEDURE

CBCT

CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

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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.

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.
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Future University in Egypt

OTHER

Sponsor Role lead

Responsible Party

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Amr Mortada Tony AL-Hadary

B.D.S Dental College

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Future University Dental Hospital

Cairo, , Egypt

Site Status

Countries

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Egypt

Other Identifiers

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FUE.REC (46)/11-2024

Identifier Type: -

Identifier Source: org_study_id

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