to detect the Accuracy of Artificial Intelligence Technology in Detecting Number of Root Canal of Human Mandibular Second Molar: Diagnostic Accuracy Experimental Study.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Enrollment
40
Detection of all canals in patients indicated for root canal therapy in lower second molars by Artificial Intelligence Dental operating microscope and CBCT
CBCT scans performed to all participants, will be randomly distributed upon postgraduate students using randomization software
Future University Dental Hospital
Cairo, Egypt
Number of root canals detected
Detected by AI software
Time frame: within one year
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