Disclosed is an artificial intelligence-based cannula surgery diagnostic device. The device includes a cannula stroke sensing unit for sensing a stroke of a cannula generated in a surgical procedure of a patient; a surgical data processing unit for receiving surgical data generated based on a stroke of the cannula; and a surgical prognostic information-generating unit for analyzing the received surgical data based on the existing learned surgical data to generate surgical prognostic information for the patient.

An intubation assistance device includes an electronic controller configured to: identify, from one or more images of a patient, information about the patient including at least a diameter of a trachea and a length of an intubation pathway; determine a recommended ETT size including an ETT diameter and an ETT depth of insertion from the determined diameter of the trachea and the determined length of the intubation pathway; and display the recommended ETT size on a display device.

A puncture planning apparatus has: a simulation unit that simulates movement of an organ and a puncture needle by simulation using an organ model; and a planning unit that plans, based on the simulation result, how to move the puncture needle when an actual organ is punctured. The simulation unit executes a plurality of times of the simulation of an operation to advance the puncture needle while correcting an angle of the puncture needle so as to follow the movement of the target segment due to deformation of the organ, conditions of an advancement speed of the puncture needle are changed for each of the plurality times of the simulation, and the planning unit performs planning using the best simulation result out of the plurality of simulation results acquired under different conditions of the advancement speed.

A mixed reality device (30) employing a mixed reality display (40) for visualizing a virtual augmentation of a physical anatomical model, and a mixed reality controller (50) for controlling a visualization by the mixed reality display (40) of the virtual augmentation of the physical anatomical model including a mixed reality interaction between the physical anatomical model and a virtual anatomical model. The mixed reality controller (50) may employ a mixed reality registration module (51) for controlling a spatial registration between the physical anatomical model within a physical space and the virtual anatomical model within a virtual space, and a mixed reality interaction module for controlling the mixed reality interaction between the physical anatomical model and the virtual anatomical model based on the spatial registration between the physical anatomical model within the physical space and the virtual anatomical model within the virtual space.

In certain embodiments, the systems, apparatus, and methods disclosed herein relate to robotic surgical systems with built-in navigation capability for patient position tracking and surgical instrument guidance during a surgical procedure, without the need for a separate navigation system. Robotic based navigation of surgical instruments during surgical procedures allows for easy registration and operative volume identification and tracking. The systems, apparatus, and methods herein allow re-registration, model updates, and operative volumes to be performed intra-operatively with minimal disruption to the surgical workflow. In certain embodiments, navigational assistance can be provided to a surgeon by displaying a surgical instrument's position relative to a patient's anatomy. Additionally, by revising pre-operatively defined data such as operative volumes, patient-robot orientation relationships, and anatomical models of the patient, a higher degree of precision and lower risk of complications and serious medical error can be achieved.

When planning magnetic resonance (MR) guided high intensity focused ultrasonic (HIFU) therapy, HIFU transducer element parameters are optimized as a function of 3D MR data describing a size, shape, and position of a region of interest (ROI) (146) and any obstructions (144) between the HIFU transducer elements and the ROI (146). Transducer element phases and amplitudes are adjusted to maximize HIFU radiation delivery to the ROI (146) while minimizing delivery to the obstruction (144). Additionally or alternatively, transducer elements are selectively deactivated if the obstruction (144) is positioned between the ROI (146) and a given transducer element.

There is provided a computerized method of tracking a position of an intra-body catheter, comprising: physically tracking coordinates of the position of a distal portion of a physical catheter within the physical body portion of the patient according to physically applied plurality of electrical fields within the body portion and measurements of the plurality of electrical fields performed by a plurality of physical electrodes at a distal portion of the physical catheter; registering the physically tracked coordinates with simulated coordinates generated according to a simulation of a simulated catheter within a simulation of the body of the patient, to identify differences between physically tracked location coordinates and the simulation coordinates; correcting the physically tracked location coordinates according to the registered simulation coordinates; and providing the corrected physically tracked location coordinates for presentation.

A surgical system includes a robotic device having a surgical tool, a tracking system, and a processing system communicably coupled to the robotic device. The processing system is configured to store a surgical plan comprising a first planned cut and one or more additional planned cuts, each additional cut defined by a relative angle and distance from the first planned cut, receive tracking data from the tracking system while the surgical tool makes a cut substantially corresponding to the first planned cut, and determine a recorded first cut plane based on the first tracking data. The processing system is further configured to determine an error between the recorded first cut plane and the planned first cut, the error comprising a deviation from the planned first cut, and update the surgical plan by modifying the one or more additional planned cuts based on the deviation.

A computer-implemented method to improve the point collection process during registration of a bone for a computer-assisted surgical procedure is provided. Based on bone digitization data, a simulation is performed to confirm the accuracy of the registration for different digitization regions. Results are tested to identify which digitization regions meet a predefined accuracy requirement. The resulting information is used to perform a computer-assisted surgical procedure. A computerized simulation method for registration of a bone for a computer-assisted surgical procedure is also provided based on processor executing random stroking an expected exposed surface of a bone model with multiple of stroke curves to cover most of the bone model surface with uniform noise and a random sample consensus is applied to remove outlying point to yield the best registration results, to find the top subset as to overlap. A method to perform computer-assisted surgery is also provided.

A system and device (110) for determining bone laxity. For example, the system includes a tracked probe (300) comprising at least one probe marker (310) and a computer assisted surgical (CAS) system (100). The CAS system includes a navigation system (130) and a processing device (110) operably connected to the navigation system and a computer readable medium configured to store one or more instructions that, when executed, cause the processing device to receive location information from the navigation system, generate (820) a surgical plan comprising a post-operative laxity assumption (720), collect (850) first motion information related to movement of the joint through a first range of motion, collect (860) second motion information related to movement of the joint through a second range of motion, determine (870) a post-operative laxity (710), and compare the post-operative laxity and the post-operative laxity assumption to determine laxity results.