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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 11304756 B1

PDFFull Text
Date of Patent:
Apr. 19, 2022

Filed:

Mar. 02, 2019

Treatment outcome prediction for lung volume reduction procedures

Applicant:

Vida Diagnostics, Inc., Coralville, IA (US);

Inventors:

Philippe Raffy, Edina, MN (US);

Youbing Yin, Coralville, IA (US);

Assignee:

VIDA Diagnostics, Inc., Coralville, IA (US);

Attorney:

Fredrikson & Byron, P.A.

Primary Examiner:

Sanjay Cattungal

Int. Cl.
CPC ...
A61B 34/10 (2016.01); G16H 30/40 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); A61B 17/00 (2006.01); A61B 90/00 (2016.01); G16H 50/20 (2018.01); G06N 5/04 (2006.01); G16H 40/63 (2018.01);
U.S. Cl.
CPC ...
A61B 34/10 (2016.02); A61B 5/7246 (2013.01); A61B 5/7275 (2013.01); A61B 6/5217 (2013.01); A61B 17/00234 (2013.01); A61B 90/37 (2016.02); G06N 5/04 (2013.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 2017/00809 (2013.01); A61B 2034/104 (2016.02); A61B 2034/105 (2016.02);
Abstract

Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

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