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. 18, 2024

Filed:

Jan. 28, 2020
Applicant:

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

Inventors:

Katelyn Nye, Glendale, WI (US);

Gopal Avinash, San Ramon, CA (US);

Pal Tegzes, Budapest, HU;

Gireesha Rao, Pewaukee, WI (US);

Assignee:

GE PRECISION HEALTHCARE LLC, Milwaukee, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/40 (2023.01); G06N 5/02 (2023.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 18/217 (2023.01); G06F 18/285 (2023.01); G06F 18/40 (2023.01); G06N 5/02 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G16H 50/50 (2018.01); G06T 2207/10116 (2013.01); G06V 2201/03 (2022.01);
Abstract

Methods and systems are provided for tuning a static model with multiple operating points to adjust model performance without retraining the model or triggering a new regulatory clearance. In one embodiment, a method comprises, responsive to a request to tune a model, obtaining a tuning dataset including a set of medical images, executing the model using the set of medical images as input to generate model tuning output, and determining, for each operating point of a set of operating points, a set of tuning metric values based on the tuning dataset and the model tuning output relative to each operating point. An operating point from the set of operating points may be selected based on each set of tuning metric values and, upon a request to analyze a subsequent medical image, a representation of a finding output from the static model executed at the selected operating point.


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