Patent ID: 11969265
Assignee: NEW YORK SOCIETY FOR THE RELIEF OF THE RUPTURED AND CRIPPLED, MAINTAINING THE HOSPITAL FOR SPECIAL SURGERY
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 12:
13. A method for constructing and implementing a machine learning algorithm to generate a feature map that depicts spatial patterns of a feature associated with synovitis across a region in a subject, the steps of the method comprising:
constructing a trained machine learning algorithm by:
(i) accessing training data with a computer system, the training data comprising magnetic resonance imaging (MRI) data acquired from a plurality of subjects and labeled data indicating a feature associated with synovitis for each of the plurality of subjects;
(ii) training a machine learning algorithm based on the training data, wherein the machine learning algorithm is trained on the training data to generate a feature map indicating a spatial pattern of the feature across a region-of-interest; and
generating a feature map that depicts a spatial pattern of the feature associated with synovitis by inputting magnetic resonance images acquired from the subject to the trained machine learning algorithm, wherein the feature associated with synovitis comprises a type of synovial reaction causing synovitis.