Accuracy of Linear Measurements of Maxillary Sinus Dimensions in Gender Identification Using Machine Learning

Linear measurements of the maxillary sinus are useful for gender prediction. This variation could be used for forensic identification purposes in mass disasters. The study aims to evaluate the accuracy of the artificial intelligence-based technique in gender prediction using linear measurements of maxillary sinus from Cone Beam Computed Tomography CBCT scans.