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:
Dec. 03, 2024

Filed:

Apr. 08, 2024
Applicant:

Cleerly, Inc., Denver, CO (US);

Inventors:

James K. Min, Denver, CO (US);

James P. Earls, Fairfax Station, VA (US);

Hugo Miguel Rodrigues Marques, Lisbon, PT;

Assignee:

Cleerly, Inc., Denver, CO (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/74 (2022.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 6/00 (2006.01); A61B 6/03 (2006.01); A61B 6/46 (2024.01); A61B 6/50 (2024.01); A61B 8/12 (2006.01); A61B 8/14 (2006.01); A61K 49/04 (2006.01); G06F 18/10 (2023.01); G06T 7/00 (2017.01); G06V 10/20 (2022.01); G06V 10/24 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
A61B 6/504 (2013.01); A61B 5/0066 (2013.01); A61B 5/0075 (2013.01); A61B 5/055 (2013.01); A61B 5/7267 (2013.01); A61B 5/742 (2013.01); A61B 5/7475 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); A61B 6/463 (2013.01); A61B 6/467 (2013.01); A61B 6/481 (2013.01); A61B 6/5205 (2013.01); A61B 8/12 (2013.01); A61B 8/14 (2013.01); A61K 49/04 (2013.01); G06F 18/10 (2023.01); G06T 7/0012 (2013.01); G06V 10/20 (2022.01); G06V 10/245 (2022.01); G06V 10/761 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30048 (2013.01); G06T 2207/30101 (2013.01); G06V 10/247 (2022.01);
Abstract

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.


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