Systems, devices, and methods for controlling cooperative surgical instruments with variable surgical site access trajectories are provided. Various aspects of the present disclosure provide for coordinated operation of surgical instruments accessing a common surgical site from different approach and/or separate body cavities to achieve a common surgical purpose. For example, various methods, devices, and systems disclosed herein can enable the coordinated treatment of tissue by disparate minimally invasive surgical systems that approach the tissue from varying anatomical spaces and must operate differently, but in concert with one another, to effect a desired surgical treatment.

A system and method for customized saturation biopsy is provided that facilitates diagnosis, management and treatment of cancer or other disease in a gland or organ. The system includes a pathology mapping unit that identifies a plurality of regions of a biopsy area. A grid assembly is coupled to the pathology mapping unit, the grid assembly including a grid disposed externally to the biopsy area. A display is coupled to the pathology mapping unit that displays information corresponding to the plurality of regions of the biopsy area, the pathology mapping unit controlling a configuration of the grid and the information corresponding to the plurality of regions. An image probe can be provided that acquires at least one image of the biopsy area, and the display displays the at least one image. An interface can be provided that is coupled to the display and supplies information to the pathology mapping unit.

Various aspects of a generator, ultrasonic device, and method for estimating a state of an end effector of an ultrasonic device are disclosed. The ultrasonic device includes an electromechanical ultrasonic system defined by a predetermined resonant frequency, including an ultrasonic transducer coupled to an ultrasonic blade. A control circuit measures a complex impedance of an ultrasonic transducer, wherein the complex impedance is defined as $Z_g\left(t\right)=\frac{V_g\left(t\right)}{I_g\left(t\right)}.$
The control circuit receives a complex impedance measurement data point and compares the complex impedance measurement data point to a data point in a reference complex impedance characteristic pattern. The control circuit then classifies the complex impedance measurement data point based on a result of the comparison analysis and assigns a state or condition of the end effector based on the result of the comparison analysis.

A system for navigating to a catheter to a target is disclosed. The system includes a probe and a workstation. The probe is configured to be navigated through a patient's airways and includes a location sensor. The workstation is in operative communication with the probe. The workstation includes a memory and at least one processor. The memory stores a navigation plan and a program that, when executed by the processor, is configured to generate a 3D rendering of the patient's airways, generate a view using the 3D rendering, and display the view featuring at least a portion of the navigation plan. Generating the view includes executing a first transfer function for a first range from a distal tip of the location sensor and executing a second transfer function for a second range from the distal tip of the location sensor.

A control apparatus for a continuum robot including a curved portion that is curved by driving a wire with a driving mechanism includes an image DB/torsional-amount acquisition unit that obtains the torsional amount of the continuum robot and a kinematic operation unit that sets the driving displacement amount of the wire driven by the driving mechanism on the basis of the torsional amount obtained by the image DB/torsional-amount acquisition unit.

The disclosure relates to a method including receiving a first set of images, the images being scans from one or more medical instruments; creating a patient-specific image reconstructed model based on the first set of images; defining mapping points on the reconstructed model; receiving a second set of images; defining patient recognition mapping points on the second set of images; overlaying the reconstructed model and the second set of images based on the mapping points and the recognition mapping points; and displaying the overlaid model aligned with the second set of images.

New and innovative systems and methods for calibrating and correcting sensors associated with a collaborative robot are disclosed. An example system comprises: at least one robotic arm; a sensor affixed to a location on the robotic arm, wherein the sensor measures force and torque across six degrees of freedom (6DOF); a processor; and memory. The system may receive, from the sensor, sensor input in real-time that indicate a measured force or torque. The system may generate, in real-time, sensor corrections that correspond to offset, linear, and non-linear deviations of the measured force in each sensor axis. The sensor corrections may correspond to offset, linear, and non-linear cross-coupling of the measured force between two or more sensor axes. The sensor corrections may be determined by applying offset, linear, and non nonlinear corrections to each degree of freedom (DOF) from every other DOF.

A surgical navigation system includes a source of a patient anatomy data, wherein the patient anatomy data comprises a three-dimensional reconstruction of a segmented model comprising at least two sections representing parts of the anatomy. A surgical navigation image generator is configured to generate a surgical navigation image comprising the patient anatomy. A 3D display system is configured to show the surgical navigation image wherein the display of the patient anatomy is selectively configurable such that at least one section of the anatomy is displayed and at least one other section of the anatomy is not displayed.

Disclosed are systems, devices and methods for providing proximity awareness to an anatomical feature while navigating inside a patient's chest, an exemplary method including receiving image data of the patient's chest, generating a three-dimensional (3D) model of the patient's chest based on the received image data, determining a location of the anatomical feature based on the received image data and the generated 3D model, tracking a position of an electromagnetic sensor included in a tool, iteratively determining a position of the tool inside the patient's chest based on the tracked position of the electromagnetic sensor, and indicating a proximity of the tool relative to the anatomical feature, based on the determined position of the tool inside the patient's chest.

Image guided surgery includes capturing a primary modality image of a surgical field of a patient with a camera system, obtaining a secondary modality image of the surgical field registered to the primary image, generating a surgical guidance image based at least in part upon the secondary modality image, and projecting the surgical guidance image onto the patient. The surgical guidance image presents visual augmentations on or over the patient to inform a medical practitioner during a surgical procedure.