A method for adjusting the operation of a surgical instrument using machine learning in a surgical suite is disclosed.

A method of monitoring a medical instrument during a medical procedure includes: receiving state information from a control system in communication with the medical instrument; detecting, by the control system, motion of at least a portion of the medical instrument; comparing the detected motion of the at least the portion of the medical instrument with a threshold motion value based on the state information received from the control system; determining, based on the detected motion exceeding the threshold motion value, significant movement of a patient has occurred; providing a system response based on determining significant movement of the patient has occurred; comparing the detected motion with a threshold control value, wherein the threshold control value is higher than the threshold motion value; and disregarding, when the detected motion is higher than the threshold control value, motion commands received from a master assembly.

Methods of monitoring a medical instrument are provided. The methods may include receiving state information from a control system in communication with the medical instrument; detecting motion of at least a portion of the medical instrument and comparing the motion of the portion of the medical instrument with a threshold motion value that is based on the state information received from the control system. The methods may further include generating a communication message for presentation to an operator of the medical instrument based on the comparison of the motion with the threshold motion value. Corresponding systems are also provided.

Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for pulmonary procedures. In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and/or tool-based data), and might generate one or more recommendations for guiding a medical professional in guiding a surgical device(s) toward and within a lung of the patient to perform a pulmonary procedure, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the lung of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

Disclosed herein are techniques for implementing an intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for soft tissue luminal applications. In various embodiments, a computing system analyzes first layer input data (indicating movement, position, and/or relative distance for a person(s) and object(s) in a room) and second layer input data. The second layer input data includes sensor and/or imaging data of a patient. Based on the analysis, the computing system generates one or more recommendations for guiding a medical professional in navigating a surgical device(s) with respect to one or more soft tissue luminal portions of the patient. The recommendation(s) include at least one mapped guide toward, in, and/or around the one or more soft tissue luminal portions. The mapped guide can include data corresponding to at least three dimensions, e.g., a 3D image/video. The computing system can present the recommendation(s) as image-based output, using a user experience device.

In general, devices, systems, and methods for multi-source imaging are provided.

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.

Pulmonary artery banding device includes an inflating handing ring, to be installed around the patient's pulmonary artery, an extending tube, and an insufflating button, the extending tube connecting insufflating button to the banding inflating ring, the banding ring being configured as a C-shape hydraulic sleeve forming a support for an inflating balloon, whose external wall is formed by a thin rigid silicon layer, and whose inside wall is formed by a thin flexible silicon layer, at the apart ends of the banding ring two brims being disposed to facilitate the size banding adjustment according with the pulmonary artery caliber. The banding ring is provided with holes for passage of sutures fixating the ring on the pulmonary artery of the patient; the insufflating button being configured as a cylindrical reservoir and being provided with holes for sutures. Also a method of using the banding ring for performing a medical procedure on a patient who is an infant or neonate.

A system includes a manipulator and a processing unit. The processing unit is configured to receive, from a position sensor system, a collected set of spatial information for a distal portion of a medical instrument collected at locations within anatomic passageways as a rigid instrument body is moved in an insertion or retraction direction. The processing unit is further configured to receive, from a position measuring device, a set of position information related to a position of the rigid instrument body when the distal portion is at the locations. The processing unit is further configured to, based at least in part on the set of position information, determine a subset of the set of spatial information relative to the environment coordinate space and, based on the subset of spatial information, determine an initial transform for registering the set of spatial information with anatomical model information in a model coordinate space.

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.