1226results about "Surgical systems user interface" patented technology

An interactive and dynamic surgical simulation system may be used in the context of a computer-implemented interactive surgical system. The surgical simulation system may provide coordinated surgical imagining. A processor may be configured to execute a simulation of a surgical procedure. The surgical procedure may be simulated in a simulated surgical environment. The processor may generate a first visual representation and a second visual representation. The first visual representation may be of a first portion of the simulated surgical environment. The second visual representation may also be of the first portion of the simulated surgical environment.

A system is disclosed including an ablation probe that includes an antenna, a display, and a controller in communication with the ablation probe and the display. The controller comprises a memory and is operable to receive first and second inputs indicative of an amount of time and a power level, respectively, to energize the ablation probe, retrieve, from the memory, a predicted ablation zone corresponding to the first and second inputs, display, on the display, an image representative of the ablation probe, and overlay, on the image, the predicted ablation zone, energize the ablation probe at the power level, and dynamically overlay, on the image, a progressive ablation zone based on the ablation probe being energized, wherein a size of the progressive ablation zone is retrieved from the memory based on the amount of time the ablation probe has been energized at the power level.

Example systems and techniques are disclosed that may determine at least one treatment strategy for a lesion. An example system may include memory configured to store clinical guidance and / or informatics for a PCI procedure and processing circuitry communicatively coupled to the memory. The processing circuitry may be configured to determine the plurality of treatment pathways. The processing circuitry may be configured to obtain angiogram imaging data of a coronary vasculature of a patient. The 2024 / 058837 processing circuitry may be configured to determine the clinical guidance and / or informatics based at least in part on the angiogram imaging data. The processing circuitry may be configured to output for display the angiogram imaging data and at least a portion of the clinical guidance and / or informatics, wherein the at least a portion of the clinical guidance and / or informatics is overlaid onto the angiogram imaging data.

Systems and methods are provided for modeling and for providing a graphical representation of tissue heating and electric field distributions for medical treatment devices that apply electrical treatment energy through one or a plurality of electrodes. In embodiments, methods comprise: providing one or more parameters of a treatment protocol for delivering one or more electrical pulses to tissue through a plurality of electrodes; modeling electric and heat distribution in the tissue based on the parameters; and displaying a graphical representation of the modeled electric and heat distribution. In another embodiment, a treatment planning module is adapted to generate an estimated target ablation zone based on a combination of one or more parameters for an irreversible electroporation protocol and one or more tissue-specific conductivity parameters.

Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

An exemplary system includes a memory storing instructions and a processor communicatively coupled to the memory. The processor may be configured to execute the instructions to: detect an intent of a user of a computer-assisted surgical system to use a robotic instrument attached to the computer-assisted surgical system to interact with a target object while the target object is located in a surgical space; determine a pose of the target object in the surgical space; and perform, based on the detected intent of the user to interact with the target object and the determined pose of the target object in the surgical space, an operation with respect to the target object.

A method of controlling a surgical system includes obtaining a surgical plan containing a plurality of planned cuts, receiving a first cutting tool from a plurality of cutting tools at a surgical device, collecting a first checkpoint by tracking a probe as the probe contacts a first predefined point on the first cutting tool, collecting a second checkpoint by tracking the probe as the probe contacts a second predefined point at a first bone of a patient, automatically selecting a first planned cut from the plurality of planned cuts based on the first checkpoint and the second checkpoint, and, in response to automatically selecting the first planned cut, guiding execution of the first planned cut using the first cutting tool.

Disclosed herein is a system and method for performing pre-operative planning of total joint arthroplasty. The planning tool builds a model and analyzes and visualizes movement of the joint for various selections of implant models and placement of the components on the implants on the patient's anatomy. The tool also analyzes and visualizes motions of the joint during common activities of daily living and analyzes and functional ranges. The tool provides real time clinically relevant parameters to inform pre-surgery planning. The tool provides screw orientation visualization.

A system for application of neurostimulation includes an outer sheath, an elongate inner member in the outer sheath and movable relative to the outer sheath. The inner lumen has a distal end. An expandable member is coupled to the distal end of the inner member and is in the outer sheath. The expandable member is self-expanding upon from a compressed state in the outer sheath to an expanded state out of the outer sheath. The expandable member includes a distal portion including a plurality of wires woven together and a proximal portion including the plurality of wires extending parallel to a longitudinal axis. The system includes a plurality of electrode assemblies outward of the expandable member and circumferentially spaced around the expandable member. Each electrode assembly is coupled to two of the wires extending parallel to the longitudinal axis. Each electrode assembly includes a plurality of longitudinally-spaced electrodes.

A medical-device navigation system includes, in some embodiments, an electromagnetoresponsive (“EMR”) element, a magnetic interrogator, and a console. The magnetic interrogator generates an external magnetic field, transduces resonance-based responses of the EMR element thereto, and provides response data for the EMR element as an elongate portion of a medical device including the EMR element moves through the external magnetic field. The console instantiates medical-device navigation processes including a data-acquisition process, a triangulation process, and a plotting process for navigating the elongate portion of the medical device as it is advanced through the external magnetic field to a target location. The data-acquisition process acquires the response data from the magnetic interrogator over time, the triangulation process triangulates the EMR element with respect to magnetic sensors of the magnetic interrogator over time, and the plotting process plots a location of the EMR element on a display screen of the console over time.

A surgical computing system may receive usage data associated with movement of a surgical instrument and user inputs to the surgical instrument. The surgical computing system may receive motion and / or biomarker sensor data from sensing systems applied to the operator of the surgical instrument. The surgical computing system may determine, based on at least one of the usage data and / or the sensor data, a control feature for implementation by the surgical instrument. The surgical computing system may communicate the determined control feature(s) to the surgical instrument. The surgical instrument may modify its operation based on the control features.

Apparatuses, systems, and methods are disclosed to manage and process surgical data, and enable collaboration between two or more surgeons or other clinicians. A repository may be created that includes surgical data (including video data and / or 2024 / 030683 or radiological image data) that may be selectively shared between medical professionals. One or more trained neural networks may process the annotated surgical reports in order to populate the repository. Additional trained neural networks may generate surgical recommendations in response to user requests, based on contents of the repository. Other trained neural networks may generate surgical templates to guide a surgeon during an operation.

The disclosure herein relates to systems, methods, and devices for developing patient-specific spinal implants, treatments, operations, and / or procedures. In some embodiments, systems, methods, and devices described herein can comprise using artificial intelligence, machine learning, and / or predictive modeling to predict the outcome of a spinal surgery, one or more parameters of a spine of a patient after spinal surgery, for example after implantation of a spinal rod which can be patient-specific, and / or one or more parameters of one or more recommended patient-specific spinal rods. Furthermore, in some embodiments, systems, methods, and devices described herein can comprise intraoperative tracking for tracking and / or suggesting improvements during spinal surgery based on a pre-operatively determined surgical plan, for example in real-time or substantially real-time. In addition, in some embodiments, systems, methods, and devices described herein can comprise screw planning prior to spinal surgery.

A system and method of recentering an imaging device and input control devices includes a medical device having one or more end effectors, an imaging device, one or more input control devices for remotely operating the one or more end effectors, and a control unit including one or more processors coupled to the end effectors, the imaging device, and the input control devices. The control unit, in response to a recentering request, suspends remote operating control of the end effectors by the input control devices, determines a field of view recentering movement for the imaging device so that the end effectors are contained within a field of view space of the imaging device, determines one or more input control device recentering movements to provide a position and orientation harmony between each of the input control devices and a corresponding end effector of the end effectors, executes the field of view recentering movement and the input control device recentering movements, and resumes remote operating control of the end effectors by the input control devices.

The invention provides a spinal pedicle screw implantation system based on a multi-modal image and MR navigation, and relates to the technical field of screw implantation, the system comprises a preoperative image processing module used for identifying bony characteristics of a patient and delimiting a screw implantation safety boundary according to the bony characteristics; and the bone image fusion navigation module is used for analyzing to obtain anatomical data of the patient, and calculating a screw implantation path according to a crown porcupine optimization algorithm in combination with bony characteristics. And the body position correction module is used for calculating the body position deviation value and synchronously adjusting the screw implantation path according to the body position deviation value and the screw implantation safety boundary. And the path risk early warning module is used for calculating the distance between the surgical tool and the key tissue in real time, and performing collision risk assessment and early warning. And the postoperative evaluation module is used for quantitatively evaluating the screw implantation precision and generating a postoperative report. According to the method, more accurate positioning can be provided for screw implantation, the accuracy of a screw implantation path is ensured, early warning is performed through extraction, a doctor is reminded to take measures in time, and operation safety is ensured.

A surgical computing system may receive measurement data from at least one sensing system. The measurement data may be associated with a set of patient biomarkers of a patient. A surgical computing system may obtain a set of patient parameters associated with the patient. A surgical computing system may generate vectorized patient data based on at least the measurement data and a set of patient-specific parameters. A surgical computing system may use a predictive model to predict an occurrence of a prolonged air leak (PAL) based at least on the vectorized patient data. A surgical computing system may generate a set of recommendations for preventing the PAL.

A robotic surgical system integrates artificial intelligence (AI) to enable dynamic inference arbitration and risk-driven autonomy. The system includes a surgeon console, robotic arms, and a control system with memory and processors configured to execute real-time surgical workflows. AI modules analyze intraoperative data, such as imaging, sensor input, and instrument telemetry, and compute context alignment scores to guide module selection, forecasting, and fallback execution. Confidence metrics are monitored, with thresholds triggering surgeon alerts, handoff, or autonomous continuation. The system supports intraoperative adaptation, surgeon fatigue detection, and real-time annotation of AI outputs for traceability. It enables improved tissue recognition, predictive planning, and context-aware adjustments through training on historical surgical data. AI-assisted decision support, deviation handling, and performance monitoring enhance safety and personalization across diverse procedures. The architecture supports modular deployment, continuous learning, and integration of multimodal data sources for precision-guided robotic surgery.

A robotic system includes a plurality of input control devices configured to be operated by an operator, a display device, and a controller coupled to the plurality of input control devices and the display device. The controller is configured to: determine a dynamic mapping, the dynamic mapping identifying at least a first association, the first association being between a first input control device of the plurality of input control devices and a first function, the first function being of a plurality of functions of a first instrument, the robotic system configured to support the first instrument; cause the display device to display a first user interface element, the first user interface element indicative of the first association; receive input from the first input control device; and cause, based on the dynamic mapping, the first function to be performed by the first instrument.

Systems and methods for verifying the quality of patient specific implants are disclosed. A system can generate implant data, such as design files or fabrication instructions, for manufacturing the implant. The system can manage access to the implant data based on authentication levels. Based on the determined authentication level of the user requesting access to the implant data, the system can permit the user to access some or all of the implant data. The system can perform a quality check on a manufactured implant by scanning the manufactured implant to identify any errors in the manufactured implant.

Systems and methods for intraoperative tracking and visualization are disclosed. A current minimally invasive surgical (MIS) instrument pose may be determined based on a live intraoperative input video stream comprising a current image frame captured by a MIS camera. In addition, an instrument activation state and at least one parameter value associated with the instrument may also be determined. Intraoperative graphic visualization enhancements may be determined based on the activation state of the instrument, and / or a comparison of parameter values with corresponding parametric thresholds. The visualization enhancements may be applied to a current graphics frame. The current graphics frame may also include visualization enhancements related to proximate anatomical structures with proximity determined from the instrument pose and an anatomical model. The current graphics frame may be blended with the current input image frame to obtain an output blended image frame, which may form part of an output video stream.

The application provides an MR arteriovenous double-mode blood vessel puncture navigation system and method, which combines multispectral near-infrared imaging, real-time biomechanical simulation and virtual-real fusion display and the like to create a novel blood vessel puncture navigation architecture, can directly present the position and direction of subcutaneous veins and arteries, and can update the display in real time along with the movement or tissue deformation of a patient, and can display the dynamically adjusted three-dimensional position of blood vessels in real time, overcomes the defects of incomplete blood vessel positioning and poor dynamic adaptability in the prior art, and can provide accurate and intuitive navigation, can promote efficient and accurate blood vessel puncture, and effectively reduces the risk.

A method for visualizing a patient shoulder anatomy is provided. The method includes receiving image data of the patient shoulder anatomy, identifying a boundary of a lesion on a humerus based on the image data, generating one or more 3D models based on a segmentation of the image data, determining a location of a glenoid track corresponding to a contact between the humerus and a glenoid based on the one or more 3D models, generating a first virtual object based on the location of the glenoid track, and displaying: at least a portion of a rendering of the one or more 3D models, the boundary of the lesion, and the first virtual object.

Systems, methods, and instrumentalities for simulating a surgical task may be provided. In examples, a request for a simulation of the surgical task may be received. For example, the surgical task may comprise a medical procedure and a medical procedure context. Surgical event data associated with the surgical task may be received, for example, responsive to a database query. For example, the surgical event data may comprise historical data associated with the medical procedure and / or context data associated with the medical procedure context. One or more simulation parameter values may be generated, for example, based on the surgical event data. The simulation may be executed based on the simulation parameter values.

A method and device for a surgical guide using augmented reality (AR) is disclosed. The surgical guide method using AR includes obtaining an image showing a surgery subject by using a camera of a wearable device worn by a user, recognizing a marker predefined in the image, determining expression attribute information of a three-dimensional (3D) image model to be projected onto the surgery subject based on the recognized marker, and displaying the 3D image model through the wearable device by projecting the 3D image model onto the surgery subject, based on the determined expression attribute information.

A generic reference model for a planned operation defines a multiplicity of landmarks that describe the planned operation. State data that describe a specific operation are received, for example by a surgical microscope, while performing a specific operation on the basis of the planned operation. Then the generic reference model is individualized in relation to the specific operation on the basis of the state data by virtue of adapting one or more landmarks of the multiplicity of landmarks to the specific operation.

Various embodiments of the invention provide systems and methods to assist or guide an arthroscopic surgery (e.g., surgery of the shoulder, knee, hip or spine) or other surgical procedure by providing measurements intraoperatively. The systems and methods comprise steps of receiving a video stream from an arthroscopic imaging device; receiving one or more sets of coordinates of one or more points, paths, or area; calculating a length, a surface area, or a volume measurement based at least in part on the one or more sets of coordinates; overlaying the selected one or more sets of coordinates and the measurement on the video stream or on an expanded view of a region of surgery; and displaying the overlay on one or more display devices intraoperatively so as to be used by an operator during the arthroscopic procedure.

A planning workstation includes a display system and a user input device and is configured to display a plurality of interactive windows for a user to view a plan for a medical procedure. Each of the plurality of interactive windows displays a different rendering of a model of anatomical passageways. The planning workstation is further configured to display a path through the anatomical passageways to a target of the medical procedure, display a virtual image of an instrument within the anatomical passageways, display a control point corresponding to a distal end of the instrument, receive a user input via the user input device, identify a position of the control point based at least on the user input, and, in response to receiving the user input, dynamically update a position of the instrument in at least one of the interactive windows to match the position of the control point.

Tracking a pose of a portion of an anatomical structure using an inverted-direction electromagnetic navigation system may comprise generating a signal comprising a plurality of frequencies. The signal comprising the plurality of frequencies may be received at a transmitter coil array. The transmitter coil array comprises a plurality of transmitting micro coils. Each of the plurality of transmitting micro coils is coupled to a portion of an anatomical structure of a patient. In response to receiving the signal comprising the plurality of frequencies, an electromagnetic field may be generated at each of the plurality of transmitting micro coils based on the received signal. Each of the generated electromagnetic fields may be detected at a receiver coil array comprising at least one receiving coil. A pose of at least one of the plurality of transmitting micro coils may then be determined.

A robotic interventional device control system includes an interventional device comprising a longitudinal axis and configured to rotate about the longitudinal axis; a controller configured to control rotational movement of the interventional device about the longitudinal axis; at least one sensor configured to detect rotational movement of the interventional device about the longitudinal axis; and one or more hardware processors configured to receive motion data from the at least one sensor, the motion data indicative of whether the interventional device is rotating. The one or more hardware processors are further configured to generate a user interface comprising an instrument window having a representation of the interventional device and an interventional device marker associated with the representation of the interventional device. The interventional device marker includes a radial progress indicator configured to provide a visual indication of a degree of rotation relative of the interventional device about the longitudinal axis.