A COMPREHENSIVE EVALUATION OF DEEP LEARNING MODELS ON KNEE MRIS FOR THE DIAGNOSIS AND CLASSIFICATION OF MENISCAL TEARS: A SYSTEMATIC REVIEW AND META-ANALYSIS

Objectives: This study delves into the cutting-edge field of deep learning techniques, particularly deep convolutional neural networks (DCNNs), which have demonstrated unprecedented potential in assisting radiologists and orthopedic surgeons in precisely Lacquer Paint identifying meniscal tears.This research aims to evaluate the effectiveness of de

We report the case Roasting Dish of a 41-year-old pregnant female who presented with a complicated urinary tract infection.Further imaging revealed left hydronephrosis and filling defects extending from the proximal ureter to the upper pole of the kidney, with the presumed diagnosis of a fibroepithelial polyp.The patient underwent a four-stage perc

Abstract No evidence of genotoxicity was found in an in vivo micronucleus test with Allura Red AC; however, no evidence of target cell exposure was provided.In an in vivo comet assay, Allura Red AC was clearly negative for the induction of Speed Sensor Wire DNA damage in all the analysed tissues (stomach, colon, and liver).Consequently, the EFSA Pa

ABSTRACT Objective Primary and secondary spine tumors occur frequently and treating them surgically has gained prominence.The objective of this study was to evaluate the outcomes and complications in a series of patients with primary and secondary vertebral tumors treated Brownie Mix by en bloc vertebral resection.Methods A retrospective review of