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:
Aug. 20, 2019

Filed:

Sep. 12, 2018
Applicant:

Verb Surgical Inc., Mountain View, CA (US);

Inventors:

Jagadish Venkataraman, Menlo Park, CA (US);

Denise Ann Miller, Scotts Valley, CA (US);

Assignees:

JOHNSON & JOHNSON INNOVATION—JJDC, INC., New Brunswick, NJ (US);

VERILY LIFE SCIENCES LLC, South San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/00 (2016.01); A61B 34/35 (2016.01); A61B 1/04 (2006.01); A61B 34/20 (2016.01); A61B 34/30 (2016.01);
U.S. Cl.
CPC ...
A61B 34/76 (2016.02); A61B 34/25 (2016.02); A61B 34/35 (2016.02); A61B 34/74 (2016.02); A61B 1/04 (2013.01); A61B 34/20 (2016.02); A61B 2034/305 (2016.02); A61B 2034/743 (2016.02);
Abstract

Embodiments described herein provide various examples of a visual-haptic feedback system for generating a haptic feedback signal based on captured endoscopy images. In one aspect, the process for generating the haptic feedback signal includes the steps of: receiving an endoscopic video captured for a surgical procedure performed on a robotic surgical system; detecting a surgical task in the endoscopic video involving a given type of surgical tool-tissue interaction; selecting a machine learning model constructed for analyzing the given type of surgical tool-tissue interaction; for a video image associated with the detected surgical task depicting the given type of surgical tool-tissue interaction, applying the selected machine learning model to the video image to predict a strength level of the depicted surgical tool-tissue interaction; and then providing the predicted strength level to a surgeon performing the surgical task as a haptic feedback signal for the given type of surgical tool-tissue interaction.


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