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:
Jun. 28, 2022

Filed:

Aug. 25, 2017
Applicant:

Verily Life Sciences Llc, Mountain View, CA (US);

Inventors:

Joëlle Barral, Mountain View, CA (US);

Martin Habbecke, Palo Alto, CA (US);

Daniele Piponi, Oakland, CA (US);

Thomas Teisseyre, Pacifica, CA (US);

Assignee:

Verily Life Sciences LLC, South San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); B25J 9/16 (2006.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); A61B 34/30 (2016.01); G16H 50/70 (2018.01); G16H 50/50 (2018.01); G05B 13/04 (2006.01); A61B 34/00 (2016.01); G05B 13/02 (2006.01); A61B 34/32 (2016.01); A61B 34/37 (2016.01);
U.S. Cl.
CPC ...
B25J 9/163 (2013.01); A61B 34/25 (2016.02); A61B 34/30 (2016.02); G05B 13/028 (2013.01); G05B 13/04 (2013.01); G06N 20/00 (2019.01); G16H 40/63 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01); A61B 34/32 (2016.02); A61B 34/37 (2016.02); A61B 2034/254 (2016.02);
Abstract

An apparatus, system and process for guiding a surgeon during a medical procedure to prevent surgical mistakes are described. The system may include a machine learning medical procedure server that generates one or more machine learning medical procedure models using, at least, medical procedure data captured during medical procedures performed at a plurality of different medical procedure systems. The system may also include a medical procedure system communicably coupled with the machine learning medical procedure server that receives a selected machine learning medical procedure model from the machine learning medical procedure server, and utilizes the selected machine learning medical procedure model during a corresponding medical procedure to control one or more operations of the medical procedure system.


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