Company Filing History:
Years Active: 2024
Title: Robin A Karr: Innovator in Machine Learning for Medical Imaging
Introduction
Robin A Karr is a notable inventor based in Wauwatosa, WI (US). He has made significant contributions to the field of medical imaging through his innovative patent. His work focuses on utilizing machine learning algorithms to enhance the classification of medical conditions associated with metal implants.
Latest Patents
Robin A Karr holds a patent titled "Neural network classification of osteolysis and synovitis near metal implants." This patent describes systems and methods for training and implementing a machine learning algorithm to generate feature maps that depict spatial patterns of features associated with osteolysis, synovitis, or both. The algorithm processes MRI data, including multispectral imaging data, to produce feature maps that indicate various characteristics such as the location and probability of pathology classification, severity of synovitis, type of synovitis, synovial membrane thickness, and other features related to osteolysis or synovitis. In some implementations, the synovial anatomy is segmented in the MRI data before being input into the machine learning algorithm. These segmented MRI data may be generated using another trained machine learning algorithm. Robin A Karr has 1 patent to his name.
Career Highlights
Throughout his career, Robin has worked with esteemed organizations, including the Medical College of Wisconsin, Inc. and the New York Society for the Relief of the Ruptured and Crippled, maintaining the Hospital for Special Surgery. His work in these institutions has allowed him to apply his innovative ideas in practical settings, contributing to advancements in medical technology.
Collaborations
Robin A Karr has collaborated with notable colleagues such as Kevin Matthew Koch and Andrew S Nencka. These collaborations have further enriched his research and development efforts in the field of medical imaging.
Conclusion
Robin A Karr is a pioneering inventor whose work in machine learning and medical imaging has the potential to significantly impact the diagnosis and treatment of conditions related to metal implants. His innovative approach continues to inspire advancements in the medical field.