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:
Oct. 22, 2019

Filed:

Nov. 14, 2017
Applicant:

Terarecon, Inc., Foster City, CA (US);

Inventors:

Jeffrey L. Sorenson, Wake Forest, NC (US);

David W. MacCutcheon, Marshfield, MA (US);

Tiecheng Zhao, Concord, CA (US);

Gael Kuhn, Montreuil, FR;

Assignee:

TeraRecon, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 19/00 (2018.01); G16H 15/00 (2018.01); G16H 50/70 (2018.01); A61B 8/00 (2006.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); A61B 5/00 (2006.01); G06N 5/02 (2006.01); G06T 7/00 (2017.01); G06N 5/04 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
G06F 19/321 (2013.01); A61B 8/565 (2013.01); G16H 15/00 (2018.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); A61B 5/0013 (2013.01); A61B 5/055 (2013.01); A61B 2576/00 (2013.01); G06N 5/022 (2013.01); G06N 5/045 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10116 (2013.01);
Abstract

An artificial intelligence findings system includes an artificial intelligence findings system. An image identification engine receives new image data pertaining to a patient and past reports and image data pertaining to the patient. The image identification engine uses the past image data pertaining to the patient to identify for study images of patient anatomical structures, anatomical anomalies and anatomical features within the new image data. A findings engine receives new image data and processes the new image data to generate findings based on the new image data and based on the identified for study images of patient anatomical structures, anatomical anomalies and anatomical features within the new image data. A communication interface provides the findings to a diagnostic review system that presents the findings to a user. An adjustment engine receives notifications of changes to findings made by a user when using the medical image interpretation system.


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