Automated deep learning accurate in detecting knee joint damage

To test the deep learning model, the team used retrospective data sets from 175 patient who underwent fat-suppressed T2-weighted fast spin-echo MRI. The reference standard for training the CNN classification was based on prior musculoskeletal radiology interpretation of the articular surfaces of the femur and tibia.