3574 results about "Surgical procedures" patented technology

A method performed by a surgical robotic system. The method determines a surgical procedure that is to be performed using a robotic arm. The method determines, for the robotic arm, a planned trajectory based on the surgical procedure, where the planned trajectory is from a current pose of the robotic arm to a predefined procedure pose that is within a threshold distance from a trocar that is coupled to a patient. The method drives the robotic arm along the planned trajectory from the current pose to the predefined procedure pose.

A blood pump assembly can include various components such as a housing and a sensor configured to detect one or more characteristics of the blood. In some embodiments, the sensor can be coupled to the housing and can include a sensor membrane configured to deflect in response to a change in a blood parameter (e.g., pressure). The blood pump assembly can include a shield that covers at least a portion of the sensor membrane so as to protect the sensor from damage when the blood pump assembly is inserted through an introducer and navigated through the patient's vasculature and / or when the blood pump assembly is inserted into the heart in a surgical procedure. One or more protective layers can be deposited over the sensor membrane to prevent the sensor membrane from being dissolved through interactions with the patient's blood.

A holographic augmented reality ultrasound needle guide system and method includes an augmented reality display such as a headset wearable by a user. The augmented reality display is configured to depict a virtual ultrasound image. The augmented reality display is further configured to allow a user to select a desired reference point on the virtual ultrasound image. The system is configured to depict a holographic needle guide based on the selection of the desired reference point. The system is also configured to adjust a trajectory of the holographic needle guide to avoid intersecting undesired anatomical structures. The augmented reality display is further configured to stamp the holographic needle guide into a selectively locked trajectory and position.

A robotic surgical system includes a surgeon consol coupled to a patient console and coupled to one or more surgical instruments. The surgeon consol is used by a surgeon to perform a surgical procedure. A surgeon computer is coupled to or at the surgeon console. The surgeon consol is coupled to the one or more surgical instruments. A surgical robot is coupled to a robotic surgery control system and a feedback loop. The robotic surgery control system includes or is coupled to an artificial intelligence (AI) system. The feedback loop receives data from one or more sensors at the robotic surgical system. The data is analyzed by the robotic surgery control system, and in response operation of the robotic surgical system is adjusted as needed. The surgical control system or the AI system uses intraoperative data describing a surgical procedure being performed. The feedback loop receives data from one or more sensors of the robotic surgical system regarding performance of at least a portion of the robotic surgical system. The data is analyzed by the robotic surgical control system. In response to analysis, operation of the robotic surgical system is adjusted as needed. The robotic surgical control system or AI system extracts one or more programmed steps used by the surgeon for positioning at least one of the surgical instruments during the surgical procedure.

A robotic surgical system. a surgeon console operatively coupled to a patient console and one or more surgical instruments. A surgeon computer is coupled to or integrated with the surgeon console, the surgeon computer further operatively connected to the one or more surgical instruments; A surgical robot is coupled to a robotic surgery control system and a feedback loop. The robotic surgery control system includes or is coupled to an artificial intelligence (AI) system. A feedback loop is further configured to receive performance-related data from the one or more sensors, the data analyzed by the robotic surgery control system or the AI system to dynamically adjust the robotic system's operation as needed. A data extraction module retrieves, from the robotic surgery control system or the AI system. one or more programmed steps executed by the surgeon for positioning at least one of the surgical instruments during the surgical procedure.

A surgical fastener applier having a housing containing a compartment therein, an elongated member extending distally from the housing and first and second jaws. A firing mechanism is positioned within the housing movable to a second position to effect firing of fasteners. A power pack is removably loadable into the compartment, the power pack having one or both of a) a first motor and a first engagement member removably engageable with the firing mechanism when the power pack is loaded into the compartment to effect movement of the firing mechanism; and b) a second motor and a second engagement member removably engageable with an articulating mechanism in the housing of the surgical fastener applier to effect movement of an articulation mechanism to effect articulation. One or both of a firing position and an articulation position are tracked during the surgical procedure. Sensors are provided to detect select parameters and instrument functions.

A robotic surgical system includes a robotic manipulator configured to perform surgical procedures under direct surgeon control. A surgical camera system captures real-time intraoperative video. An external imaging interface receives multimodal imaging data, including preoperative and intraoperative data from at least one of magnetic resonance imaging (MRI), computed tomography (CT), ultrasound, and fluoroscopy. An artificial intelligence (AI module has a trained neural network and a deep learning model trained on multi-institutional annotated surgical datasets, The AI module is configured to execute one or more of: fuse acquired video and imaging data into temporally and spatially coherent anatomical visualizations; generate continuously updating overlays aligned with the surgical field, with segmented anatomical features; projected tissue boundaries, proximity indicators for instruments, and predictive deformation trends; provide dynamic predictive trend visualization indicating zones of future anatomical complexity or risk; register and align preoperative imaging data with intraoperative imaging data in real time; adapt overlay presentation in response to tissue deformation without actuating the robotic manipulate or; and passively augment visual feedback without initiating any autonomous actuation of surgical instruments.

A robotic surgical system includes one or more robotic actuators configured to interact with biological tissue during a surgical procedure. A plurality of sensors include at least one of fiber Bragg grating sensors, piezoelectric strain sensors, or magnetostrictive sensors to capture real-time mechanical, elasticity, or deformation data from biological tissues. deep learning engine trained on a dataset comprising tissue mechanical responses across multiple tissue types, pathological states, and patient demographics. Pre-contact predictive adjustment profiles are generated for anticipated tissue interactions using preoperative imaging data registered to intraoperative coordinates. Intraoperative deviations are detected from predicted mechanical behavior and autonomously recalibrate actuator forces. Upcoming surgical maneuvers are anticipated based on prior task sequences and adjust actuator stiffness or damping properties in preparation for anticipated contact. An emergency override of actuator forces is provided via an anomaly detection module when real-time sensor data deviates beyond a threshold from the predicted safe mechanical response range. A feedback loop iteratively refines the deep learning engine during the procedure using supervised learning updates, anomaly detection, and reinforcement learning strategies. The reinforcement learning model is optionally shared across procedures to optimize distributed actuator force patterns for minimizing localized and cumulative tissue stress.

Systems and methods for designing and implementing patient-specific surgical procedures and / or medical devices are disclosed. In some embodiments, a method includes receiving a patient data set of a patient. The patient data set is compared to a plurality of reference patient data sets, wherein each of the plurality of reference patient data sets is associated with a corresponding reference patient. A subset of the plurality of reference patient data sets is selected based, at least partly, on similarity to the patient data set and treatment outcome of the corresponding reference patient. Based on the selected subset, at least one surgical procedure or medical device design for treating the patient is generated.

Aspects of the present disclosure relate to systems, devices and methods for performing a surgical step or surgical procedure for example with visual guidance using a head mounted display or with a surgical navigation system or with a surgical robot. A computer processor can be configured to determine the pose of a first vertebra with an attached first marker and a second vertebra with an attached second marker. The computer processor can be configured to determine the pose of at least one vertebra interposed or adjacent to the first and second vertebrae with attached markers, e.g. fiducial markers.

A surgical device includes a plurality of cameras integrated therein. The view of each of the plurality of cameras can be integrated together to provide a composite image. A surgical tool that includes an integrated camera may be used in conjunction with the surgical device. The image produced by the camera integrated with the surgical tool may be associated with the composite image generated by the plurality of cameras integrated in the surgical device. The position and orientation of the cameras and / or the surgical tool can be tracked, and the surgical tool can be rendered as transparent on the composite image. A surgical device may be powered by a hydraulic system, thereby reducing electromagnetic interference with tracking devices.

A surgical instrument for applying surgical clips to tissue comprises an end effector having first and second jaws that are movable between open and closed positions and configured to receive first and second rows of clips in the open position. The instrument further includes an actuator coupled to the end effector and configured to move the jaws into the closed position and to discharge the first and second rows of clips. This allows an operator to apply multiple rows of clips to tissue with a single instrument insertion, which obviates the need to remove the surgical instrument from the cannula to manually reload a new cartridge, thereby reducing the overall time of the surgical procedure.

A surgical fastener applier having a housing containing a compartment therein, an elongated member extending distally from the housing and first and second jaws. A firing mechanism is positioned within the housing movable to a second position to effect firing of fasteners. A power pack is removably loadable into the compartment, the power pack having one or both of a) a first motor and a first engagement member removably engageable with the firing mechanism when the power pack is loaded into the compartment to effect movement of the firing mechanism; and b) a second motor and a second engagement member removably engageable with an articulating mechanism in the housing of the surgical fastener applier to effect movement of an articulation mechanism to effect articulation. One or both of a firing position and an articulation position are tracked during the surgical procedure. Sensors are provided to detect select parameters and instrument functions.

Procedure training apparatus, methods and systems which in one embodiment allow surgical trainees to receive expert clinical guidance during live surgery or to practice surgical skills on anatomical models in a realistic manner with an augmented reality headset which is in audio and visual communication with a remotely located trainer having a similar AR headset. A unique feature of the system includes providing live or static imaging of the surgical site to the AR headsets of the trainee and trainer wherein the imaging is provided from medical or other devices (e.g., ultrasound) through a device(s) media hub. The images are displayed in the field of view of the surgeon so that they may see their hands, the patient (or model) and the imaging simultaneously. Controls allow the imaging on the respective AR headsets to be switched on command typically by the trainer which allows the trainer to deliver the trainer's surgical site image (e.g., on their own model) to the AR headset of the trainee to illustrate correct procedure, for example. Once the trainee views the trainer's imaging of correct procedure, the imaging source may be switched back to the trainee's surgical site so that they may continue the procedure. Instruction or live clinical support during surgical procedures allow procedures to be recorded and recordings segregated by machine learning model and class, allowing for semi-supervised and / or unsupervised learning. After machine learning models are created, automated guidance and / or alerts may be given during the surgical procedure.

Co-manipulation robotic systems are described herein that may be used for assisting with surgical procedures, including laparoscopic surgery. The co-manipulation robotic systems allow a surgeon to use commercially-available surgical tools while providing benefits associated with surgical robotics. Advantageously, the surgical tools may be seamlessly coupled to the robot arms using a disposable coupler while the reusable portions of the robot arm remain in a sterile drape. Further, the co-manipulation robotic system may operate in multiple modes to enhance usability and safety, while allowing the surgeon to position the instrument directly with the instrument handle and further maintain the desired position of the instrument using the robot arm.

Examples described herein provide a computer-implemented method that includes performing training of a self-knowledge distillation encoder and a self-knowledge distillation decoder for video frames of a surgical procedure. A trained version of the self-knowledge distillation encoder and the self-knowledge distillation decoder can be combined as a phase recognition model to predict surgical phases of the surgical procedure in one or more videos.

Co-manipulation robotic systems are described herein that may be used for assisting with surgical procedures, including laparoscopic surgery. The co-manipulation robotic systems allow a surgeon to use commercially-available surgical tools while providing benefits associated with surgical robotics. Advantageously, the surgical tools may be seamlessly coupled to the robot arms using a disposable coupler while the reusable portions of the robot arm remain in a sterile drape. Further, the co-manipulation robotic system may operate in multiple modes to enhance usability and safety, while allowing the surgeon to position the instrument directly with the instrument handle and further maintain the desired position of the instrument using the robot arm.

A surgical microscope lighting control system comprising a controller configured to: estimate or determine a lighting need of a surgeon during at least part of a surgical procedure based at least on a viewing status of a region of illumination, wherein the viewing status of the region of illumination is estimated or determined (a) based at least on whether or not the region of illumination is being displayed, or (b) based at least on tracking data of the surgeon or a head-mounted display; determine an adjustment to be made to an illumination provided by a lighting unit of a surgical microscope based on the lighting need; and in response to determining the adjustment, send a first signal to the lighting unit to change the illumination according to the adjustment.

The present disclosure relates to processing data streams from a surgical procedure using multiple interconnected data structures to generate and / or continuously update an electronic output. Each surgical data structure is used to determine a current node associated with a characteristic of a surgical procedure and present relevant metadata associated with the surgical procedure. Each surgical data structure includes at least one node interconnected to one or more nodes of another data structure. The interconnected nodes between one or more data structures includes relational metadata associated with the surgical procedure.

A method for capturing dislodged vegetative growth during a surgical procedure is provided. The method includes maneuvering, into a circulatory system, a first cannula having a distal end and an opposing proximal end, such that the first cannula is positioned to capture the vegetative growth en bloc. A second cannula is positioned in fluid communication with the first cannula, such that a distal end of the second cannula is situated in spaced relation to the distal end of the first cannula. A suction force is provided through the distal end of the first cannula so as to capture the vegetative growth. Fluid removed by the suction force is reinfused through the distal end of the second cannula. Subsequent to becoming dislodged, the vegetative growth is captured by the first cannula. A method for capturing a vegetative growth during removal of a pacemaker lead is also provided.

Systems and methods for automatically populating a post-operative report of a surgical procedure are disclosed. A system may include at least one processor configured to implement a method including receiving an identifier of a patient, an identifier of a healthcare provider, and surgical footage of a surgical procedure performed on the patient. The method may include analyzing frames of the surgical footage to identify phases of the surgical procedure based on interactions between medical instruments and biological structures and, based on the interactions, associate a name with each phase. The method may include determining a beginning of each phase and associating a time marker with the beginning of each phase. The method may include populating a post-operative report with the patient identifier, the names of the phases, and time markers associated with the phases in a manner that enables the health care provider to alter the post-operative report.

Data captured during a surgical procedure can include video streams, such as from a laparoscopic camera. Technical solutions are described to facilitate online surgical phase recognition from the captured video stream(s). Surgical phase recognition is key in developing context-aware supporting systems for surgeons and medical teams in general. The technical solutions describe taking temporal context in videos into account by precise modeling of temporal neighborhoods in a video.

Apparatus, techniques and systems are described for facilitating identification of a target area during a probe-guided radio-localization surgical procedure. The described apparatus, techniques and systems can be used to implement a nuclear-uptake mode controller integrated into a probe to allow a user to instantly switch between multiple nuclear-uptake modes directly from the probe hand-piece. For example, a nuclear-uptake mode controller integrated into the probe can be used to instantly switch between a high-sensitivity nuclear uptake mode and a high-resolution nuclear-uptake mode toeffectively identify the target area in the presence of interfering nuclear signals by better matching the probe's nuclear detection parameters to a search task for that target area.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

The invention provides an automatic operation process management method and device based on multi-sensor fusion, and relates to the technical field of automatic processes, and the method comprises the steps: constructing an instrument pose flow and operation field geometric model under a unified coordinate system through unified timestamp alignment and spatial geometry solution of multi-source sensor data; semantic segmentation and three-dimensional reprojection are combined to generate a shielding probability graph, cross-channel compensation reconstruction is carried out, and the image integrity is improved. And forming a conflict risk set through voxel field discretization and short-time prediction, and performing combined solution with standardized operation process constraints to generate a scheduling instruction and a safety time window. And finally, mapping the image, the pose and the physiological signal to a knowledge graph, and outputting consistency judgment and deviation correction suggestions in combination with a time sequence attention recognition process node. According to the method, the problem that the operation process management is not accurate enough due to the problems of view overlapping and the like of multi-source sensor data can be solved.

Data captured during a surgical procedure can include multiple video streams, such as from an endoscopic camera, an external camera, etc., along with data from one or more instruments used during the surgical procedure. The surgical data that is generated and stored includes several videos, which are lengthy (hundreds of minutes) and large (several gigabytes). Searching the surgical data is a technical challenge, particularly, identifying similar surgical videos and cases from the past, in real-time, is a technical challenge. Technical solutions are described to optimize searching a catalogue of the surgical data by generating a query based on information in an input video, and using the automatically generated query to search the stored catalogue of surgical data.

A tool feeding system includes a tool cart having a tool cart coordinate space and surgical tools removably carried by the tool cart at known locations within the tool cart coordinate space. The tool cart is physically attached to a surgical robotic system having one or more surgical robotic arms and a central control unit which controls movement of the robotic arms in a surgical robotic coordinate space. The central control unit registers the tool cart coordinate space with the surgical robotic coordinate space to create a common surgical robotic space, allowing the central control unit to kinematically control motion of the surgical robotic arms within the common surgical robotic space to retrieve and return multiple tools and perform surgical procedures with the tools.

The invention discloses a surgical operation system with a training or auxiliary function, particularly relates to the field of intelligent surgical operation systems, and cooperatively works through five modules including multi-modal sensing, layered AI decision making, dynamic feedback, closed-loop learning and an expansion interface. MEMS pressure sensing and biological signal fusion sensing are adopted, strategic layer three-dimensional navigation and execution layer magneto-rheological damping control are combined, and an operation whole-process optimization system is constructed; a multi-source data persistent evolution model is integrated through federal learning, and precise man-machine interaction is realized by matching eye movement tracking AR and a variable stiffness touch glove. According to the system, the intraoperative risk identification accuracy is improved, the operation efficiency is improved, third-party equipment extension and doctor skill quantitative evaluation are supported, and the operation safety and the training standardization level are remarkably improved.

A surgical navigation system for providing computer-aided surgery. The surgical navigation system includes a handheld surgical tool with computer-aided navigation, a graphical user interface module, and optionally an imaging device. The handheld surgical tool includes a handle that may comprise at least one sensor for detecting orientation of the. A computing device and at least one display device are associated with the handheld surgical tool and configured to display a target trajectory of the handheld surgical tool for the surgical procedure.