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
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Basic Information
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COMPLETED
NA
40 participants
INTERVENTIONAL
2024-11-29
2025-12-20
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
DIAGNOSTIC
DOUBLE
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.
CBCT
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
AI
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
CBCT
CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software
Eligibility Criteria
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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.
Exclusion Criteria
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.
18 Years
40 Years
ALL
Yes
Sponsors
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Future University in Egypt
OTHER
Responsible Party
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Amr Mortada Tony AL-Hadary
B.D.S Dental College
Locations
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Future University Dental Hospital
Cairo, , Egypt
Countries
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Other Identifiers
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FUE.REC (46)/11-2024
Identifier Type: -
Identifier Source: org_study_id
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