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:
Aug. 25, 2026

Filed:

Jun. 29, 2023
Applicant:

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

Inventors:

Gonzalo Iñaki Quintana, Montrouge, FR;

Pablo Milioni De Carvalho, Chaville, FR;

Laurence Vancamberg, Poissy, FR;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06V 10/44 (2022.01); G06V 10/74 (2022.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G16H 50/50 (2018.01); G06T 7/0012 (2013.01); G06V 10/44 (2022.01); G06V 10/761 (2022.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01);
Abstract

A system and method for the determination of a data analysis model to be employed on a data analysis system using an evaluation dataset obtained from the data analysis system. The data analysis models are trained in a suitable manner, such as via a federated learning system, to each include various training features. The evaluation dataset is run through each of the data analysis models to extract features from the evaluation dataset for comparison with the training features of each data analysis model to determine the similarity of the training features of the data analysis models to the extracted features. The results of the comparison are presented for review and validation of the selected data analysis model(s). Further, the extraction of the features from the evaluation dataset can be performed on raw data from the data analysis system, or a combination of raw data and annotated data.


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