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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.

Patent No.:

US 11177034 B1

PDFFull Text
Date of Patent:
Nov. 16, 2021

Filed:

Aug. 22, 2017

Medical scan natural language analysis system

Applicant:

Enlitic, Inc., San Francisco, CA (US);

Inventors:

Kevin Lyman, Fords, NJ (US);

Devon Bernard, San Francisco, CA (US);

Li Yao, San Francisco, CA (US);

Brian Basham, San Francisco, CA (US);

Scott McKinney, San Francisco, CA (US);

Assignee:

Enlitic, Inc., San Francisco, CA (US);

Attorneys:

Garlick & Markison

Bruce E. Stuckman

Katherine C. Stuckman

Primary Examiner:

Joshua B Blanchette

Assistant Examiner:

Winston Furtado

Int. Cl.
CPC ...
G16H 30/40 (2018.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G06F 40/279 (2020.01); G06F 40/56 (2020.01); G06F 40/30 (2020.01); G06F 3/048 (2013.01); G06T 7/00 (2017.01); G06Q 50/22 (2018.01); G16H 50/20 (2018.01); A61B 6/00 (2006.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G16H 50/70 (2018.01); G06N 3/04 (2006.01); G06F 40/169 (2020.01); G06F 40/197 (2020.01); G06F 40/247 (2020.01); G16H 30/20 (2018.01); G06T 7/11 (2017.01); G16H 40/20 (2018.01); G01T 1/24 (2006.01); G16H 50/30 (2018.01); A61B 6/03 (2006.01); G06F 3/16 (2006.01); G06K 9/03 (2006.01); G06K 9/62 (2006.01); A61B 5/00 (2006.01); G06N 3/08 (2006.01); G06Q 10/10 (2012.01); H04N 5/32 (2006.01); G16H 40/63 (2018.01); G06T 11/60 (2006.01); G06N 20/10 (2019.01); G06N 7/00 (2006.01); G16H 40/67 (2018.01); G16H 50/50 (2018.01); H04L 29/08 (2006.01); H04L 29/06 (2006.01); G06F 3/0484 (2013.01); G06F 3/0485 (2013.01); G06T 11/00 (2006.01);
U.S. Cl.
CPC ...
G16H 30/40 (2018.01); A61B 5/002 (2013.01); A61B 5/0022 (2013.01); A61B 6/032 (2013.01); A61B 6/4233 (2013.01); A61B 6/463 (2013.01); A61B 6/468 (2013.01); A61B 6/50 (2013.01); A61B 6/503 (2013.01); A61B 6/5217 (2013.01); A61B 6/5288 (2013.01); A61B 6/5294 (2013.01); A61B 6/563 (2013.01); A61B 8/468 (2013.01); A61B 8/5223 (2013.01); A61B 8/565 (2013.01); G01T 1/247 (2013.01); G06F 3/048 (2013.01); G06F 3/167 (2013.01); G06F 40/169 (2020.01); G06F 40/197 (2020.01); G06F 40/247 (2020.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06F 40/56 (2020.01); G06K 9/03 (2013.01); G06K 9/6215 (2013.01); G06K 9/6267 (2013.01); G06N 3/04 (2013.01); G06N 3/0454 (2013.01); G06N 3/084 (2013.01); G06Q 10/10 (2013.01); G06Q 10/103 (2013.01); G06Q 50/22 (2013.01); G06T 7/0012 (2013.01); G06T 7/0016 (2013.01); G06T 7/11 (2017.01); G16H 10/60 (2018.01); G16H 15/00 (2018.01); G16H 30/20 (2018.01); G16H 40/20 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/30 (2018.01); G16H 50/70 (2018.01); H04N 5/32 (2013.01); A61B 6/505 (2013.01); G06F 3/0485 (2013.01); G06F 3/04842 (2013.01); G06K 9/6202 (2013.01); G06K 9/6256 (2013.01); G06K 2209/05 (2013.01); G06N 7/005 (2013.01); G06N 20/10 (2019.01); G06T 11/003 (2013.01); G06T 11/60 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10116 (2013.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30068 (2013.01); G16H 40/67 (2018.01); G16H 50/50 (2018.01); H04L 67/12 (2013.01); H04L 67/42 (2013.01);
Abstract

A medical scan natural language analysis system is operable to generate a medical report natural language model based on a selected set of medical reports of the plurality of medical reports and the at least one medical code mapped to each of the selected set of medical reports. A medical report that is not included in the selected set is received via a network. A medical code is determined by utilizing the medical report natural language model on the first medical report. The medical code is mapped to a medical scan corresponding to the medical report.

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