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 ...
Knee MRIs: can artificial intelligence replace the physician?
By Mardi Chapman
4 Dec 2018