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:
Nov. 18, 2025

Filed:

Jun. 10, 2025
Applicant:

The First Affiliated Hospital of Guangzhou Medical University (Guangzhou Respiratory Center), Guangzhou, CN;

Inventors:

Tongtao Cui, Guangzhou, CN;

Siqi Wang, Guangzhou, CN;

Tao Guo, Guangzhou, CN;

Zeyang Fang, Guangzhou, CN;

Youliang Wu, Guangzhou, CN;

Yunyun Zhang, Guangzhou, CN;

Rongmao He, Guangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G01R 33/48 (2006.01); G01R 33/56 (2006.01); G06T 7/00 (2017.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06V 10/40 (2022.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
A61B 8/0883 (2013.01); A61B 5/0035 (2013.01); A61B 5/0044 (2013.01); A61B 5/055 (2013.01); A61B 5/7264 (2013.01); A61B 5/7425 (2013.01); A61B 8/463 (2013.01); A61B 8/488 (2013.01); A61B 8/5223 (2013.01); A61B 8/5261 (2013.01); G01R 33/4814 (2013.01); G01R 33/5608 (2013.01); G06T 7/0014 (2013.01); G06T 7/12 (2017.01); G06T 7/136 (2017.01); G06V 10/40 (2022.01); G06V 10/761 (2022.01); G06V 10/82 (2022.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G06T 2207/10088 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30048 (2013.01); G06V 2201/031 (2022.01);
Abstract

The present invention provides a system for detecting myocardial damage based on imaging characteristics, which comprises an image acquisition module, a feature extraction module, a data processing module, and a report generation module. The image acquisition module is configured to acquire high-resolution cardiac imaging data; the feature extraction module is configured to extract cardiac structural and functional feature information from the acquired imaging data; the data processing module is configured to analyze and identify myocardial damage based on the extracted feature information; the report generation module is configured to generate medical reports for physicians regarding myocardial damage. The present invention provides a more comprehensive and accurate assessment of myocardial damage by performing a comprehensive analysis of the patient's cardiac imaging data, thereby enhancing the accuracy and effectiveness of medical diagnosis.


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