The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 23, 2026

Filed:

Jun. 23, 2023
Applicant:

GE Precision Healthcare Llc, Waukesha, WI (US);

Inventors:

Pavan Annangi, Bangalore, IN;

Vikram Reddy Melapudi, Bangalore, IN;

Hariharan Ravishankar, Bengaluru, IN;

Deepa Anand, Bangalore, IN;

Assignee:

GE Precision Healthcare LLC, Waukesha, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/00 (2017.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/0012 (2013.01); G06V 10/776 (2022.01); G06V 10/82 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06V 2201/03 (2022.01); G06V 2201/10 (2022.01);
Abstract

Techniques are described for refining or updating medical image inferencing models post deployment using synthetic images generated from non-image data feedback. In an example, a system can comprise a memory that stores computer-executable components and a processor that executes the computer-executable components stored in the memory. The computer-executable components can comprise an image generation component that generates synthetic medical images based on feedback information associated with performance of a medical image inferencing model received in association with application of the medical image inferencing model to medical images in a deployment environment, wherein the feedback information excludes image data. The computer-executable components can further comprise a refinement component that updates the medical image inferencing model using the synthetic images and a model updating process.


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