Provided are systems, devices and methods for automated steering of medical instrument in a subject's body for diagnostic and/or therapeutic purposes, wherein the steering of the medical instrument within the subject's body is based on a planned 3D trajectory and real-time updating the 3D trajectory, to allow safely and accurately reaching a target within the subject's body.

Prostheses are described for stabilizing dysfunctional sacroiliac (SI) joints. The prostheses are sized and configured to be press-fit into surgically created pilot SI joint openings in dysfunctional SI joint structures. The prostheses have a pontoon shape with opposed elongated partially cylindrical sections connected by a bridge section. The partially cylindrical sections and, in some instances, the bridge section have a porous structure.

A method may include positioning a distal portion of a neuromodulation catheter in a first renal vessel of a patient. The distal portion may include a plurality of therapeutic elements arranged around a perimeter of the distal portion. The method also may include imaging the distal portion to visualize positions of the plurality of therapeutic elements; manipulating the distal portion so that at least one therapeutic element is oriented toward a second renal vessel adjacent the first renal vessel; deploying the at least one therapeutic element to extend at least partially through the wall of the first renal vessel such that the at least therapeutic element extends toward the second renal vessel; and delivering a chemical agent through the plurality of therapeutic elements to modulate activity of at least one renal nerve adjacent to the first renal vessel and at least one renal nerve adjacent to the second renal vessel.

A user input obtainer receives an image movement instruction including identification information specifying a position shift or an image capture time shift to be performed and also including a displacement amount. When the identification information specifies the position shift, a slice position selector determines a tomographic image at a destination of the position shift based on the displacement amount from a set of tomographic images captured at the same time. On the other hand, when the identification information specifies the image capture time shift, the image capture time selector determines a tomographic image at a destination of the shift based on the displacement amount from sets of tomographic images that are identical to each other in terms of a patient, an examination portion, and a modality. A displaying image obtainer reads out the determined tomographic image from an image storage device and gives it to a display information generator.

A multi-stage dilator and cannula assembly for use in surgical procedures, including minimally invasive surgical procedures, to provide tissue dilation and opening of a portal to enable the surgeon to access and provide treatment to anatomical feature of interest.

A medical puncture device system includes a puncture device, a sensor, and an indicator system. The puncture device is configured to create a puncture through patient tissue and into an internal patient cavity to enable a medical tool to be inserted through the puncture into the cavity. The sensor is configured to generate a signal indicative of motion of the puncture device through the tissue into the cavity. The indicator system is operable by a controller to produce human-perceptible feedback in response to the signal generated by the sensor.

An image guided surgical system includes a marker attachable to and removable from an elongated surgical tool having a shaft, and at least one camera, and an image processing system in communication with the camera configured to obtain an image of the surgical tool. The image processing system is configured to operate in a calibration mode to generate a template and display the template on a display device and to receive a user input, after the image of the surgical tool is aligned to the template, to adjust a length of the template to substantially match a length of the surgical tool. A storage device in communication with the image processing system is included to store calibration information that associates a position of the marker with a position of the tip of the shaft of the surgical tool based on the adjusted length of the template.

A retractor apparatus for a surgical robotic system includes a frame defining a central open region, a connecting member that connects the frame to a robotic arm, a plurality of coupling mechanisms for attaching a set of retractor blades within the central open region of the frame such that blades define a working channel interior of the blades, and a plurality of actuators extending between the frame and each of the coupling mechanisms and configured to move the blades with respect to the frame to vary a dimension of the working channel. Further embodiments include a surgical robotic system that includes a robotic arm and a retractor apparatus attached to the robotic arm, and methods for performing a robot-assisted surgical procedure using a retractor apparatus attached to a robotic arm.

A teleoperated system comprises a display, a master input device, and a control system. The control system is configured to determine an orientation of an end effector reference frame relative to a field of view reference frame, determine an orientation of a master input device reference frame relative to a display reference frame, establish an alignment relationship between the master input device reference frame and the display reference frame, and command, based on the alignment relationship, a change in a pose of the end effector in response to a change in a pose of the master input device. The alignment relationship is independent of a position relationship between the master input device reference frame and the display reference frame. In one aspect, the teleoperated system is a telemedical system such as a telesurgical system.

For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. The machine-learnt multi-task generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. The machine-learnt multi-task generator is trained to output both the 3D segmentation and a complete volume. The 3D segmentation may be used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.