The Medical College of Wisconsin, Inc.

New York Society for the Relief of the Ruptured and Crippled, Maintaining the Hospital for Special Surgery

New York Society for the Ruptured and Crippled Maintaining the Hospital for Special Surgery

Robin A Karr

Kevin Matthew Koch

Andrew S Nencka

Hollis Potter

Matthew F Koff

Bradley J Swearingen

Systems and methods for training and implementing a machine learning algorithm to generate feature maps depicting spatial patterns of features associated with osteolysis, synovitis, or both. MRI data, including multispectral imaging data, are input to the trained machine learning algorithm to generate the feature maps, which may indicate features such as a location and probability of a pathology classification, a severity of synovitis, a type of synovitis, a synovial membrane thickness, and other features associated with osteolysis or synovitis. In some implementations, synovial anatomy are segmented in the MRI data before inputting the MRI data to the machine learning algorithm. These segmented MRI data may be generated using another trained machine learning algorithm.

Neural network classification of osteolysis and synovitis near metal implants

Growing community of inventors

Wauwatosa, WI, United States of America

Robin A Karr