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.
Patent No.:
Date of Patent:
May. 05, 2026
Filed:
Aug. 24, 2020
Applicant:
Nvidia Corporation, Santa Clara, CA (US);
Inventors:
Wentao Zhu, New York, NY (US);
Daguang Xu, Potomac, MD (US);
Peiying Ruan, Tokyo, JP;
Dong Yang, Pocatello, ID (US);
Ziyue Xu, Reston, VA (US);
Holger Reinhard Roth, Rockville, MD (US);
Assignee:
NVIDIA Corporation, Santa Clara, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); A61B 6/03 (2006.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06T 7/00 (2017.01); G16H 10/40 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 50/80 (2018.01); G16H 70/20 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 6/032 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01); G06T 7/0012 (2013.01); G16H 10/40 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 50/80 (2018.01); G16H 70/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01); G06V 2201/10 (2022.01);
Abstract
Apparatuses, systems, and techniques to train one or more neural networks based, at least in part on, medical imaging data and clinical metadata or inference using one or more neural networks trained as such. In at least one embodiment, one or more circuits to train one or more neural network to predict a treatment for a patient suspected to have or confirmed to have COVID-19 based, at least in part on, medical imaging data and clinical metadata.