A system for controlling operation of a radiofrequency treatment device to apply radiofrequency energy to tissue to heat tissue to create lesions without ablating the tissue. The system includes a first treatment device having at least one electrode for applying radiofrequency energy to tissue, a controller including a connector to which a first treatment device is coupled for use, and a generator for applying radiofrequency energy to the electrodes. The controller controls application of energy so that the tissue is thermally treated to create lesions but preventing thermal treatment beyond a threshold which would ablate the tissue.

A system and method for streamlining inventory and ordering for certain surgical supplies. The method includes scanning, by an imaging device, a surgical site and receiving, by a processor communicatively coupled to the imaging device, data from the scan. The method also includes the processor analyzing the data, where the analyzing includes searching the data to identify predefined key features in the data that are parameters utilized by a Statistical Shape Model (SSM). The processor applies the SSM to generate a three dimensional replica of a predetermined portion of the surgical site. The processor also defines, based on the replica, at last one of: surgical planes or orientations. The processor then utilizes the replica and the surgical planes or orientations to select a solution.

The inventive subject matter is directed to an artificial intelligence intra-operative surgical guidance system and method of use. The artificial intelligence intra-operative surgical guidance system is made of a computer executing one or more automated artificial intelligence models trained on data layer datasets collections to calculate surgical decision risks, and provide intra-operative surgical guidance; and a display configured to provide visual guidance to a user.

A hooked surgery camera for use in surgical robotic systems includes a hook coupled to a side or end of a camera body, for attaching the camera to tissue during a surgery. The camera also includes a lens on another end of the camera body, and electronic components inside the camera body. The electronic components include a battery, a digital camera module and a wireless data transmitter. The hooked surgery camera provides a supplementary view of the surgical site, that is from a different perspective than the view provided by an endoscope, during laparoscopic surgeries. Other aspects are also described and claimed.

A system and method may be used to position or orient a camera within a surgical field. A method may include generating a graphical user interface including a first set of instructions to reposition the camera, and determining whether the camera is within a target volume location. The method may include automatically outputting an indication when the camera is within the target volume location. The method may include outputting a second set of instructions for display on the graphical user interface to align a laser, coupled to or integrated into the camera, to the tracker by changing an angle of the camera

An illustrative insertion management system may be configured to provide, as a first input to a machine learning model, geometric model data specific to a recipient of a cochlear implant and representative of a geometrical model of a cochlea of the recipient, provide, as a second input to the machine learning model, procedure data representative of one or more contextual attributes of a lead insertion procedure in which an electrode lead is inserted to the cochlea of the recipient, and generate, based on an output of the machine learning model that takes into account the geometric model data and the procedure data, procedure assistance data configured to assist a user in performing the lead insertion procedure.

An exemplary system is configured to obtain anatomical characteristic data representative of a characteristic associated with an anatomical surface to be covered by a physical medical element, the anatomical surface within an internal space of a patient and determine, based on the anatomical characteristic data, a placement guidance parameter set. The placement guidance parameter set may include one or more parameters configured to guide a placement of the physical medical element on the anatomical surface with one or more surgical instruments controlled by a computer-assisted surgical system.

Disclosed herein is a system and a method for registering a surgical site to a surgical navigation system when the surgical site contains an implant for revision joint replacement surgery. The method creates a depth map of the surgical site and provides a possible identification of the existing implant using surface matching algorithms. The model of the implant is iteratively oriented with respect to the to the depth map until an optimal fit is achieved. Once the implant has been identified and localized, the registered landmarks are used in robotic-assisted surgery.

A method of registering a luminal network to a 3D model of the luminal network with real-time feedback is disclosed, including generating the 3D model of the luminal network based on images of the luminal network, generating an electromagnetic field about the luminal network, inserting a location sensor into the electromagnetic field, tracking the location of the sensor within the luminal network, comparing the tracked locations of the sensor with sensors located outside of the luminal network and the portions of the 3D model representative of open space, and presenting on a user interface an indication of which portions of the luminal network have been sufficiently traversed by the sensor to register that portion of the luminal network to the 3D model.

Disclosed are systems and methods of lymphatic specimen tracking, visualization, and lymph node drainage pathway determination. An exemplary method includes receiving computed tomographic (CT) image data corresponding to a CT scan, generating a three-dimensional (3D) model of at least a portion of a patient's body based on the CT image data, identifying one or more lymph nodes in the 3D model, performing a registration of the 3D model with one or more physical locations in the patient's body, determining an expected lymph node drainage pathway away from a region of interest through one or more lymph nodes, and displaying the 3D model and the expected lymph node drainage pathway.