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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| morphology of canals in lower second mandibular molar | Experimental | 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. |
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| Number of canals in lower second mandibular molar | Experimental | Number of canals in lower second mandibular molar |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI | Procedure | Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT |
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| Measure | Description | Time Frame |
|---|---|---|
| Number of root canals detected | Detected by AI software | within one year |
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Inclusion Criteria:
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A- Inclusion criteria:
B- Exclusion criteria:
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
Pregnant women after taking detailed history and pregnancy test must be in the first visit.
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.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Future University Dental Hospital | Cairo | Egypt |
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with in one year
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| CBCT | Procedure | CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software |
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