Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study (AI)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
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Cairo, Egypt
- Future University Dental Hospital
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
-
A- Inclusion criteria:
- Patients must be medically free from any systemic disease that can affect root canal treatment.
- Age range of the patients should be 18-40 with permanent mandibular second molars indicated for root canal treatment.
- No sex predilection.
- Patients must have good oral hygiene.
- restorable teeth.
- Positive patient"s acceptance for participating in the study.
- Patients able to sign informed consent.
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.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / 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.
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CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software
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Experimental: Number of canals in lower second mandibular molar
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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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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of root canals detected
Time Frame: within one year
|
Detected by AI software
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within one year
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- FUE.REC (46)/11-2024
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Time Frame
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ICF
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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