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:
Feb. 02, 2021

Filed:

Mar. 14, 2019
Applicant:

Fuji Xerox Co., Ltd., Tokyo, JP;

Inventors:

Philipp Daniel Harzig, Bavaria, DE;

Yin-Ying Chen, San Jose, CA (US);

Francine Chen, Menlo Park, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G16H 30/40 (2018.01); G06K 9/46 (2006.01); G06T 7/00 (2017.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G06F 40/30 (2020.01); G06F 40/279 (2020.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06K 9/4604 (2013.01); G06T 7/0012 (2013.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G06T 2207/20081 (2013.01);
Abstract

A method and system for determining a treatment order for a plurality of patient imaging records. The method includes extracting, by a trained neural network, image features from each of the plurality of imaging records, generating, by the trained neural network, a written report associated with each of the plurality of imaging records based on the extracted image features, wherein the trained neural network generates the written report based on a sentence annotation model that provides abnormality annotations on an individual sentence basis, determining, by the trained neural network, an abnormality score associated with each written report, and providing the written reports to a treating physician in a sorted order based on the abnormality score associated with each written report.


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