MRNet for Knee MRI

This deep learning model was developed to detect general abnormalities and specific diagnoses, such as ACL and meniscal tears, on knee MRI exams. This automated system has the potential to prioritize high-risk patients and support clinicians in making accurate diagnoses. The study also evaluated the effect of providing the model’s predictions to clinical experts during their interpretations.