Verily Life Sciences LLC

Gianni Campion

Joëlle K Barral

Xing Jin

Martin Habbecke

Blake Hannaford

Daniele Paolo Piponi

Lin Yang

A surgical simulator for simulating a surgical scenario comprises a display system, a user interface, and a controller. The controller includes one or more processors coupled to memory that stores instructions that when executed cause the system to perform operations. The operations include generating simulated surgical videos, each representative of the surgical scenario. The operations further include associating simulated ground truth data from the simulation with the simulated surgical videos. The ground truth data corresponds to context information of at least one of a simulated surgical instrument, a simulated anatomical region, a simulated surgical task, or a simulated action. The operations further include annotating features of the simulated surgical videos based, at least in part, on the simulated ground truth data for training a machine learning model.

Surgical simulator providing labeled data

Systems and methods for surgical training are provided. The system may include an operating display console for a first surgeon to view a video feed of a surgery while the first surgeon performs the surgery. The system may also include a training display console for a second surgeon to view the video feed of the surgery while the surgery is performed. The system may further include a controller that interfaces with the operating display console and the training display console. The training display console may include a training interface for pausing the video feed displayed on the training display console, and for switching from a display mode to a simulation mode for simulating one or more surgical steps of the surgery.

Surgical training systems and methods

A simulator for simulating soft body deformation includes a display system, a user interface, and a controller. The controller includes one or more processors coupled to memory that stores instructions that when executed cause the system to perform operations. The operations include generating a simulated soft body having a shape represented, at least in part, by a plurality of nodes. The operations further include determining, with at least a first machine learning model, a displacement of individual nodes included in the plurality of nodes in response to a simulated force applied to the simulated soft body. The operations further include rendering a deformation of the simulated soft body in substantially real time in response to the simulated force based, at least in part, on the displacement.

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Mountain View, CA, United States of America

Gianni Campion