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:
Aug. 13, 2024

Filed:

Mar. 12, 2021
Applicant:

Echonous, Inc., Redmond, WA (US);

Inventors:

Nikolaos Pagoulatos, Kirkland, WA (US);

Ramachandra Pailoor, Woodinville, WA (US);

Kevin Goodwin, Kirkland, WA (US);

Assignee:

EchoNous, Inc., Redmond, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16H 30/20 (2018.01); G16H 50/20 (2018.01); G16H 30/40 (2018.01); G06K 9/62 (2022.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06V 10/44 (2022.01); G06F 18/2413 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 3/04842 (2022.01); G06T 7/00 (2017.01); G06F 3/04845 (2022.01);
U.S. Cl.
CPC ...
G16H 30/20 (2018.01); A61B 8/46 (2013.01); A61B 8/461 (2013.01); A61B 8/469 (2013.01); A61B 8/5215 (2013.01); A61B 8/5223 (2013.01); A61B 8/565 (2013.01); G06F 3/04842 (2013.01); G06F 18/2414 (2023.01); G06T 7/0012 (2013.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G06F 3/04845 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10132 (2013.01); G06V 2201/031 (2022.01);
Abstract

Ultrasound image recognition systems and methods, and artificial intelligence training networks for such systems and methods, are provided. An ultrasound data information system includes an ultrasound image recognition training network that is configured to receive ultrasound training images and to develop ultrasound image knowledge based on the received ultrasound training images. An ultrasound imaging device acquires ultrasound images of a patient, and the device includes an ultrasound image recognition module. The ultrasound image recognition module is configured to receive the ultrasound image knowledge, receive the acquired ultrasound images from the ultrasound imaging device, and determine, based on the ultrasound image knowledge, whether the received ultrasound images represent a clinically desirable view of an organ or whether the clinically desirable views indicate normal function or a particular pathology. The received ultrasound images are transmitted to the ultrasound image recognition training network for further training and development of updated ultrasound image knowledge.


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