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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 11308612 B1

PDFFull Text
Date of Patent:
Apr. 19, 2022

Filed:

Jun. 01, 2020

Systems and methods for detection of infectious respiratory diseases

Applicant:

Qure.ai Technologies Private Limited, Mumbai, IN;

Inventors:

Preetham Putha, Guntur, IN;

Manoj Tadepalli, Krishna Gudivada, IN;

Bhargava Reddy, Hyderabad, IN;

Tarun Raj, Vishakapatnam, IN;

Ammar Jagirdar, Mumbai, IN;

Pooja Rao, Pune, IN;

Prashant Warier, Mumbai, IN;

Assignee:

Qure.ai Technologies Private Limited, Mumbai, IN;

Attorney:

Wiley Rein LLP

Primary Examiner:

Nay A Maung

Assistant Examiner:

Jose M Torres

Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06K 9/62 (2006.01); G06T 7/11 (2017.01); G06K 9/32 (2006.01); G06F 40/20 (2020.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 50/80 (2018.01); G06T 7/70 (2017.01); A61B 6/00 (2006.01); C12Q 1/689 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/503 (2013.01); A61B 6/505 (2013.01); A61B 6/5217 (2013.01); C12Q 1/689 (2013.01); G06F 40/20 (2020.01); G06K 9/3241 (2013.01); G06K 9/628 (2013.01); G06K 9/6256 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G16H 10/40 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); G16H 50/80 (2018.01); G06K 2209/05 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30061 (2013.01);
Abstract

This disclosure generally pertains to systems and methods for detection of infectious respiratory diseases by implementation of an automated X-rays-based triage approach alongside algorithmic clinical sample pooling for molecular diagnosis. Certain embodiments relate to methods for the development of deep learning algorithms that perform machine recognition of specific features and conditions in chest X-ray imaging data. The chest X-ray imaging data is used to guide the pooling strategy of clinical samples for a molecular test.

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