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. 07, 2025

Filed:

Dec. 02, 2019
Applicant:

Carnegie Mellon University, Pittsburgh, PA (US);

Inventors:

Bradford Mahon, Pittsburgh, PA (US);

Keith Parkins, Rochester, NY (US);

Max Sims, Rochester, NY (US);

Benjamin Chernoff, Pittsburgh, PA (US);

Hugo Angulo-Orquera, Pittsburgh, PA (US);

Assignee:

Carnegie Mellon University, Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/372 (2021.01); A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 5/24 (2021.01); A61B 34/10 (2016.01); G01R 33/48 (2006.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01); G16H 15/00 (2018.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); A61B 5/0042 (2013.01); A61B 5/0077 (2013.01); A61B 5/055 (2013.01); A61B 5/24 (2021.01); A61B 5/372 (2021.01); A61B 5/4064 (2013.01); A61B 5/7267 (2013.01); A61B 34/10 (2016.02); G01R 33/4806 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 20/30 (2018.01); G16H 20/40 (2018.01); G16H 30/20 (2018.01); G16H 30/40 (2018.01); G16H 40/67 (2018.01); G16H 50/20 (2018.01); A61B 2034/105 (2016.02); A61B 2034/107 (2016.02); G16H 15/00 (2018.01);
Abstract

A system for outputting a visual representation of a brain of a patient is configured to receive sensor data representing a behavior of a region of the brain of the patient. The system retrieves mapping data that maps a prediction value to the region. The prediction value is indicative of an effect on a behavior of the patient responsive to a treatment of the region, the mapping data being indexed to a patient identifier. The system receives, responsive to an application of a stimulation to the region, sensor data representing behavior of the region. The system executes a model that updates, based on the sensor data, the prediction value for the region. The system updates, responsive to executing the model, the mapping data by including the updated prediction value in the mapping data. The system outputs a visual representation of the updated mapping data comprising the updated prediction value.


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