Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology. However, MRI interpretation is highly time-consuming and heavily dependent on expertise. A research team has now introduced a novel deep learning model which can assist with classifying 12 common types of knee abnormalities, enhancing both efficiency and accuracy.
Geiger Mueller News Service