Abstract: The present disclosure provides systems and methods for providing surgical guidance. In one aspect, the present disclosure provides a surgical guidance system comprising: an image processing module configured to (i) receive image data obtained using one or more image and/or video acquisition modules and (ii) generate one or more medical predictions or assessments based on (a) the image/video data or physiological data associated with the image/video data and (b) one or more training data sets comprising surgical or medical data associated with a patient or a surgical procedure. The one or more training data sets may comprise anatomical and physiological data obtained using a plurality of imaging modalities. The system may further comprise a visualization module configured to provide a surgical operator with an enhanced view of a surgical scene, based on the one or more augmented data sets.

Abstract: Systems and methods for multi-modal sensing of three-dimensional position information of the surface of an object are disclosed. In particular, multiple visualization modalities are each used to collect distinctive positional information of a surface of an object. Each of the computed positional information is combined using weighting factors to compute a final, weighted three-dimensional position. In various embodiments, a first depth may be recorded using fiducial markers, a second depth may be recorded using a structured light pattern, and a third depth may be recorded using a light-field camera. Weighting factors may be applied to each of the recorded depths and a final, weighted depth may be computed.

Abstract: The present disclosure provides a system for enabling autonomous or semi-autonomous surgical operations. The system comprises: one or more processors that are individually or collectively configured to: process an image data stream comprising one or more images of a surgical site; fit a parametric model to a tissue surface identified in the one or more images; determine a direction for aligning a tool based in part on the parametric model; determine an optimal path for automatically moving the tool to perform a surgical procedure at the surgical site; and generate one or more control signals for controlling i) a movement of the tool based on the optimal path and ii) a tension force applied to the tissue by the tool during the surgical procedure.

Abstract: Systems and methods for multi-modal sensing of three-dimensional position information of the surface of an object are disclosed. In particular, multiple visualization modalities are each used to collect distinctive positional information of a surface of an object. Each of the computed positional information is combined using weighting factors to compute a final, weighted three-dimensional position. In various embodiments, a first depth may be recorded using fiducial markers, a second depth may be recorded using a structured light pattern, and a third depth may be recorded using a light-field camera. Weighting factors may be applied to each of the recorded depths and a final, weighted depth may be computed.

Abstract: Systems and methods for multi-modal sensing of three-dimensional position information of the surface of an object are disclosed. In particular, multiple visualization modalities are each used to collect distinctive positional information of a surface of an object. Each of the computed positional information is combined using weighting factors to compute a final, weighted three-dimensional position. In various embodiments, a first depth may be recorded using fiducial markers, a second depth may be recorded using a structured light pattern, and a third depth may be recorded using a light-field camera. Weighting factors may be applied to each of the recorded depths and a final, weighted depth may be computed.

Abstract: Systems and methods for multi-modal sensing of three-dimensional position information of the surface of an object are disclosed. In particular, multiple visualization modalities are each used to collect distinctive positional information of a surface of an object. Each of the computed positional information is combined using weighting factors to compute a final, weighted three-dimensional position. In various embodiments, a first depth may be recorded using fiducial markers, a second depth may be recorded using a structured light pattern, and a third depth may be recorded using a light-field camera. Weighting factors may be applied to each of the recorded depths and a final, weighted depth may be computed.