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:
Jul. 16, 2024

Filed:

Feb. 26, 2021
Applicant:

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

Inventors:

John Kalafut, Pittsburgh, PA (US);

Keith Dreyer, Fort Lauderdale, FL (US);

Mark Michalski, Boston, MA (US);

Stuart Pomerantz, Boston, MA (US);

Sean Doyle, Boston, MA (US);

Neil Tenenholtz, Cambridge, MA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/20 (2018.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 11/60 (2006.01);
U.S. Cl.
CPC ...
G16H 30/20 (2018.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 11/60 (2013.01);
Abstract

Techniques are described that facilitate integrating artificial intelligence (AI) informatics in healthcare systems using a distributed learning platform. In one embodiment, a computer-implemented is provided that comprises interfacing, by a system operatively coupled to a processor, with a medical imaging application that provides for viewing medical image data. The method further comprises, facilitating, by the system, generation of structured diagnostic data according to a defined ontology in association with usage of the imaging application to perform a clinical evaluation of the medical image data. The method further comprises providing, by the system, the structured diagnostic data to one or more machine learning systems, wherein based on the providing, the one or more machine learning systems employ the structured diagnostic data as training data to generate or train one or more diagnostic models configured to provide artificial intelligence-based diagnostic evaluations of new medical image data.


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