Knee Joint

The knee joint is a complex structure whose study focuses on improving diagnosis, treatment, and rehabilitation of related conditions like osteoarthritis. Current research emphasizes accurate segmentation and modeling of knee anatomy using deep learning techniques, including convolutional neural networks (CNNs), U-Net architectures, transformers (like Swin Transformer), and Gaussian process regression, often coupled with statistical shape modeling for improved precision. These advancements enable more accurate assessments of joint health, personalized prosthetic design, and improved control algorithms for exoskeletons aiding in rehabilitation and daily function. The ultimate goal is to enhance patient care through objective, automated analysis and personalized interventions.