Patent ID: 11941810
Assignee: EDWARDS LIFESCIENCES CORPORATION
Field: Measurement (Instruments)
Classification: CPC G  A | IPC G

Claim 4:
5. A method of determining an inspection decision for a target device, the method comprising:
training an image-based machine learning framework on prosthetic heart valve image data at least in part by:
obtaining image feature data associated with a plurality of reference prosthetic heart valve devices;
obtaining inspection decision data corresponding to the plurality of reference prosthetic heart valve devices, the inspection decision data including failure decision data; and
generating a failure prediction model based on correlations between the failure decision data and the image feature data;

obtaining imaging data for a target prosthetic heart valve device, the target prosthetic heart valve device comprising a sealing skirt sutured to a frame by a suturing line that follows an undulating shape of struts of the frame;
determining positioning of the suturing line based on the imaging data;
evaluating whether the suturing line is correctly positioned using the failure prediction model; and
determining an inspection outcome associated with the target prosthetic heart valve device based on the evaluation.