An artifical intelligence system based on deep learning is feasible for detecting full-thickness anterior cruciate ligament (ACL) tears within the knee joint on magnetic resonance (MR) images, according to a study published online May 8 in Radiology: Artificial Intelligence.
From the University of Wisconsin School of Medicine and Public Health in Madison, and colleagues developed a fully automated deep learning-based system using two deep convolutional neural networks to isolate ACL on MR images.
Source: Medical Xpress
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