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:
Jan. 21, 2025

Filed:

Apr. 08, 2020
Applicant:

The University of Vermont and State Agricultural College, Burlington, VT (US);

Inventors:

Daniel Bertges, South Burlington, VT (US);

Safwan Wshah, Burlington, VT (US);

Christopher S. Morris, South Hero, VT (US);

Sage Hahn, Burlington, VT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/10 (2017.01); A61B 6/03 (2006.01); A61B 6/50 (2024.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06T 7/00 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/504 (2013.01); G06F 18/214 (2023.01); G06F 18/2415 (2023.01); G06T 7/10 (2017.01); G06T 7/62 (2017.01); G06T 7/70 (2017.01); G06V 10/751 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06T 2207/10081 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30101 (2013.01); G06V 2201/03 (2022.01);
Abstract

Techniques for diagnosing a patient having an AAA. The techniques include using a computer hardware processor to perform: accessing computed tomography angiography (CTA) images of a portion of the patient, the portion of the patient including the AAA of the patient; providing the CTA images as input to a trained machine learning model, the trained machine learning model being configured to classify a property of the AAA based on the CTA images; and determining, based on the classified property of the AAA, a diagnosis of the patient, the diagnosis including information identifying at least one condition (e.g., an endoleak, an AAA rupture) of the patient.


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