Orbsurgical Ltd.

Hamidreza Hoshyarmanesh

Garnette Roy Sutherland

Sanju Lama

Amir Baghdadi

Rahul Singh

Kourosh Zareinia

Data is received that is generated by at least one sensor forming part of a surgical instrument. The sensor(s) on the surgical instrument can characterize use of the surgical instrument in relation to a patient. A first machine learning model can construct a force profile using the received data. The force profile includes a plurality of force patterns. In addition, a plurality of features are extracted from the received data. Thereafter, one or more attributes characterizing use of the surgical instrument are determined by a second machine learning model using the constructed force profile and the extracted features. Data characterizing the determination can be provided (e.g., displayed to a surgeon, etc.).

Machine learning-assisted surgery

A local haptic hand controller is provided for enabling an operator to remotely perform fine manipulation, such as microsurgery, in conjunction with a remotely located robotic manipulator, for example at which the microsurgery is to be performed. The local haptic hand controller includes a base, a kinematic structure in communication with the base and comprises a gimbal as an end effector. A local surgical tool is provided at the gimbal and has a shape and construction substantially similar to a remote surgical tool provided at the remote robotic manipulator. A control system is in communication with the local surgical tool and with the remote surgical tool, and configured to enable operation of the local haptic hand controller when a local surgical tool identifier matches a remote surgical tool identifier.

Microsurgery-specific haptic hand controller

Data is received that is generated by at least one sensor forming part of a surgical instrument. The sensor(s) on the surgical instrument can characterize use of the surgical instrument in relation to a patient. A force profile segmentation model can construct a force profile using the received data. The force profile includes a plurality of force patterns. The force profile segmentation model includes at least one first machine learning trained using historical surgical instrument usage data. In addition, a plurality of features are extracted from the received data. Thereafter, one or more attributes characterizing use of the surgical instrument are determined by a force profile pattern recognition model using the constructed force profile and the extracted features. The force profile pattern recognition model includes at least one second machine learning model. Data characterizing the determination can be provided (e.g., displayed to a surgeon, etc.).

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Calgary, Canada

Hamidreza Hoshyarmanesh