A number of improvements are provided relating to computer aided surgery. The improvement relates to both the methods used during computer aided surgery and the devices used during such procedures. Some of the improvement relate to controlling the selection of which data to display during a procedure and/or how the data is displayed to aid the surgeon. Other improvements relate to the structure of the tools used during a procedure and how the tools can be controlled automatically to improve the efficiency of the procedure. Still other improvements relate to methods of providing feedback during a procedure to improve either the efficiency or quality, or both, for a procedure.

The application describes embodiments including, e.g., a measurement device comprising: a casing, a first magnet arranged within the casing such that it is rotatable out of an equilibrium orientation responsive to an external magnetic torque acting on the first magnet, a second magnet to provide a restoring torque to force the first magnet back into the equilibrium orientation responsive to an external magnetic torque rotating the first magnet out of the equilibrium orientation, allowing for a rotational oscillation of the first magnet, which is excited by the external magnetic torque, with a resonant frequency, and a temperature sensitive magnetic material to modify the resonant frequency.

Surgical methods and devices that facilitate registration of arthroscopic video to preoperative models are disclosed. With this technology, a machine learning model is applied to diagnostic video data captured via an arthroscope to identify an anatomical structure. An anatomical structure in a three-dimensional (3D) anatomical model is registered to the anatomical structure represented in the diagnostic video data. The 3D anatomical model is generated from preoperative image data. The anatomical structure is then tracked intraoperatively based on the registration and without requiring fixation of fiducial markers to the patient anatomy. A simulated projected view of the registered anatomical structure is generated from the 3D anatomical model based on a determined orientation of the arthroscope during capture of intraoperative video data. The simulated projected view is scaled and oriented based on one or more landmark features of the anatomical structure extracted from the intraoperative video data.

A medical movable body system according to the present disclosure includes a medical movable body, a robot, a manipulator, and a controller. The robot is in a first space. The manipulator is in a second space. The controller executes: (A) making the robot self-travel to approach a patient; and after the (A), (B) operating an arm and/or a hand .

A surgical system includes a shaft having a distal end and a proximal end, the proximal end including a grip, a sensor attached to the distal end of the shaft, at least one visual indicator disposed at the distal end of the shaft, and a controller coupled to the sensor and the at least one visual indicator, the controller actuating the at least one visual indicator according to a signal received from the sensor.

An esophageal monitoring device includes a camera and, optionally, one or more lights to enable visualization of an interior of a subject's esophagus. Visualization of the interior of the subject's esophagus before and after a left atrial ablation procedure may enable a healthcare provider to determine whether or not the left atrial ablation procedure has damaged the subject's esophagus before the subject experiences any symptoms of such damage. An esophageal monitoring device may also include sensors and/or markers that enable a determination of its location within a subject's esophagus. Such an esophageal monitoring device may be configured for three-dimensional mapping, and enable the generation of an accurate three-dimensional map of the physical relationship between a subject's esophagus and the left atrium of his or her heart. Methods of monitoring a subject's esophagus while a left atrial ablation procedure is being conducted on the subject's hear are also disclosed.

Suggested is a semiconductor nano-sized light emitting material having a ligand.

Methods and related systems and devices are described for performing various AR medical applications, including a method of guiding augmented reality (AR) intervention. In one aspect, a primary client device: receives model sets, an intervention plan having an intervention field, and session information about a session related to the AR intervention from a server; receives first real-time input data from a first input device; generates metrics by evaluating an execution of the intervention plan by comparing the intervention plan to the first real-time input data; displays real-time graphics, based at least in part on the metrics, spatially over the intervention field; receives real-time status data, from the server, about a replicate client device that joins the session; sends the first real-time input data, the metrics and the evaluation computed from the intervention plan, through the server, to the replicate client device.

System, methods and apparatus related to surgical articles used during surgery. The system, methods and apparatus may include features such as an element/substrate added to surgical articles which enables the recognition by human visualization of the surgical articles when left inside patient bodies when viewed with medical imaging technologies. The element/substrate may include a plurality of three dimensional objects. Alternatively, the element/substrate may comprise a ribbon of radiopaque material having cut-puts or other radiolucent regions which provide image artifacts observable under fluoroscopic imaging.

A surgical computing system may scan for a sensing system located in an operating room. Upon detecting a sensing system in the operating room, the surgical computing system may establish a link with the sensing system. The surgical computing system may receive user role identification data from the sensing system using the established link. The surgical computing system may identify a user role for a user in the operating room based on the received user role identification data. The user role of a user may be or may include at least one of a surgeon, a nurse, a patient, a hospital staff, or a health care professional. Based on the identified user role, the surgical computing system may generate and send surgical aid information for the user in the operating room. The surgical aid information may include information associated with a surgical operation relevant to the identified user role.