Cilag International Gmbh

Aaron Chow

Frederick E Shelton, IV

Shane R Adams

Jason L Harris

Kevin Michael Fiebig

A device, such as a computing device or a surgical device, may receive surgical operation data associated with a surgical operation. Based on the surgical operation data, a device may identify a surgical device to be used for a surgical operation and/or one or more surgical steps associated with a surgical operation. Based on the identified surgical device, the one or more surgical steps, and/or the surgical operation data, a device may determine an allowable operation range controlling a surgical device for a surgical procedure. A device may receive an adjustment input configuration to control a surgical device for a surgical step. A device may determine whether the adjustment input configuration is outside of the determined allowable operation range. Based on a determination that the adjustment input configuration is outside of the determined allowable operation range, a device may block the adjustment input configuration to control a surgical device.

Adaptable operation range for a surgical device

Systems, methods, and instrumentalities may be described herein associated with data processing associated with multiple system hierarchical levels and compartmentalizing a machine learning algorithm into a plurality of parts. A surgical hub/edge device may obtain surgical data associated with a surgical task and determine sets of parameters associated with various surgical data subblocks. The surgical hub/edge device may determine processing levels to be used for processing each of the surgical data subblocks based on a capability associated with a processing device that is located in a computational hierarchy of the healthcare provider's network. The surgical hub/edge device may send the surgical data subblocks to the respective processing devices based on the parameters associated with the surgical data subblocks and the processing levels. Scaling of a surgical data attribute to be analyzed by a machine learning algorithm may be adjusted based on a resource-time relationship of a surgical hub/edge device.

Growing community of inventors

Cincinnati, OH, United States of America

Aaron Chow