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:
Apr. 16, 2024

Filed:

Nov. 16, 2020
Applicant:

Geisinger Clinic, Danville, PA (US);

Inventors:

Brandon K. Fornwalt, Lewisburg, PA (US);

Christopher Haggerty, Lewisburg, PA (US);

Alvaro Ulloa-Cerna, Danville, PA (US);

Christopher Good, Fairview, PA (US);

Assignee:

Geisinger Clinic, Danville, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 8/00 (2006.01); A61B 8/04 (2006.01); A61B 8/06 (2006.01); A61B 8/08 (2006.01); A61B 8/14 (2006.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01);
U.S. Cl.
CPC ...
A61B 8/0883 (2013.01); A61B 8/04 (2013.01); A61B 8/065 (2013.01); A61B 8/14 (2013.01); A61B 8/5223 (2013.01); A61B 8/5246 (2013.01); A61B 8/5292 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06T 7/0002 (2013.01); G06T 7/0012 (2013.01); G16H 10/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); G16H 70/60 (2018.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30048 (2013.01);
Abstract

A method for determining a predicted risk level of a clinical endpoint for a predetermined time period for a patient is provided by the present disclosure. The method includes receiving video frames of a heart, the video frames being associated with the patient, receiving electronic health record data including a number of variables associated with the patient, providing the video frames and the electronic health record data to the trained neural network, receiving a risk score from the trained neural network, and outputting a report based on the risk score to at least one of a display or a memory.


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