U.S., Aug. 12 -- ClinicalTrials.gov registry received information related to the study (NCT07114484) titled 'Accuracy of AI in Detecting Bifid Mandibular Canal on CBCT Images: A Diagnostic Accuracy Study' on July 31.
Brief Summary: The goal of this observational study is to evaluate how accurately a deep learning-based artificial intelligence (AI) model can detect and segment bifid mandibular canals (BMCs) on cone-beam computed tomography (CBCT) scans in Egyptian patients. This condition is a key anatomical variation that, if missed, may cause surgical complications such as nerve injury.
The study uses previously collected CBCT scans of individuals aged 15 and older from the Oral and Maxillofacial Radiology Department at Cairo University....