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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.:

US 12620484 B1

PDFFull Text
Date of Patent:
May. 05, 2026

Filed:

Aug. 24, 2020

Machine-learning techniques for oxygen therapy prediction using medical imaging data and clinical metadata

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:

Davis Wright Tremaine LLP

Primary Examiner:

Wei Wen Yang

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.

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Zhu, Wentao. (2026). Machine-learning techniques for oxygen therapy prediction using medical imaging data and clinical metadata (U.S. Patent No. 12620484). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12620484

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