The next generation of machine learning can be harnessed to interpret knee MRI scans quicker and as accurately as clinical experts. A Stanford University team of computer scientists, radiologists and surgeons have developed a deep learning model for detecting abnormalities such as ACL and meniscal tears. MRNet is a convolutional neural network that can take ...
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