Mazor Robotics Ltd.

Adi Sandelson

Ziv Seemann

Nimrod Dori

Amir Keret

Gal Barazani

Ori Ben Zeev

Dany Junio

Yvan Paitel

Dor Kopito

Elad Ratzabi

Nicholas J Rawluk

Nir Ofer

Gal Eshed

Itamar Eshel

Gillan M Grimberg

Ofer Regev

Boris Bashkansky

Bat-el Kagan

Shane Lars Riding

Systems and methods for predicting surgical outcomes are provided. A surgical plan comprising information about a planned surgery and at least one preoperative image depicting a planned surgical result and at least one postoperative image depicting an actual surgical result resulting from execution of the planned surgery may be received. The postoperative image may be registered to the preoperative image. One or more features may be automatically identified in each of the postoperative image and the preoperative image. A difference may be automatically measured in at least one parameter of each of the one or more features to yield training data. A function for predicting the difference may be generated using artificial intelligence and based on the training data. The function may be applied to an unexecuted surgical plan.

Systems and methods for predicting surgical outcomes

A system according to at least one embodiment of the present disclosure includes a processor; and a memory storing data thereon that, when processed by the processor, cause the processor to: determine, based on a navigation element of a first type and a navigation element of a second type both disposed on a navigation tracker, a first registration between the navigation tracker and an anatomical element; determine, based on a navigation element of a third type disposed on the navigation tracker, a second registration between a robotic arm and the navigation tracker; and navigate, based on the first registration and the second registration, the robotic arm relative to the anatomical element.

Robotic arm navigation using virtual bone mount

A robotic navigation system includes a robot base; a robotic arm with a proximal end secured to the robot base, a distal end movable relative to the proximal end, and one or more arm segments between the proximal end and the distal end; a base set of tracking markers secured to the robot base; and at least one additional set of tracking markers secured to the robotic arm.

Split robotic reference frame for navigation

A robotic system according to at least one embodiment of the present disclosure includes a robot arm including a proximal end and a distal end, a mount flange rotationally connected to the robot arm at the distal end along a rotation axis, and an end effector interconnected to the mount flange via an attachment interface disposed between the mount flange and the end effector. The attachment interface fixedly arranges the end effector in one of at least two select positions. A first position of the at least two select positions orients a surgical tool axis of the end effector at a first angle relative to the rotation axis, and a second position of the at least two select positions orients the surgical tool axis of the end effector at a second angle relative to the rotation axis. The second angle is different from the first angle.

Multiple end effector interfaces coupled with different kinematics

Systems and methods for monitoring patient movement are provided. A first dataset containing information about a first tracking device and a second tracking device may be received. A second dataset containing information about the first tracking device and the second tracking device may be received. The first dataset and the second dataset may be compared to determine if a relative pose of the first tracking device and the second tracking device has changed. A notification may be generated when the relative pose of the first tracking device and the second tracking device has changed.

Systems and methods for monitoring patient movement

Systems and methods according to embodiments of the present disclosure include: receiving registration data including information about a location of an anatomical element in a surgical environment; defining, based on the registration data, a three-dimensional (3D) volume in the surgical environment including the anatomical element; and controlling a robotic arm inside the surgical environment based on the defined 3D volume such that at least the robotic arm or one or more components attached to the robotic arm avoids passing through the defined 3D volume during a movement of the robotic arm.

Systems and methods for robotic collision avoidance using medical imaging

A system comprises a neuromonitoring system configured to generate nerve data regarding a state of a nerve of a patient during a surgical procedure on the patient. The system includes a robotic system configured to receive or generate, for the surgical procedure, location data that identifies a location of the nerve of the patient. The robotic system may cause the neuromonitoring system to be in either an active state or an inactive state based on the location data, where the active state is a state in which the neuromonitoring system provides the nerve data to the robotic system, while the inactive state is a state in which the neuromonitoring system does not provide the nerve data to the robotic system. The robotic system may further generate at least one control signal that implements one or more safeguards for the surgical procedure.

Systems, devices, and methods for triggering intraoperative neuromonitoring in robotic-assisted medical procedures

Methods, systems, and devices for robot integrated segmental tracking are described. A system determines first positional information of one or more objects based on three-dimensional first image data captured by an imaging device, tracking information associated with the one or more objects, or both. The first positional information includes a real-time location of the one or more objects. The system generates an image including a graphical representation of the one or more objects. Generating the image includes positioning the graphical representation of the one or more objects based on a comparison result indicative of a deviation between the first positional information and reference positional information of the one or more objects. The reference positional information includes a registered location of the one or more objects. The system outputs an indication of the deviation between the first positional information and the reference positional information.

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Givatayim, Israel

Adi Sandelson