6121 results about "Surgical instrument" patented technology

A robotic surgical system includes a surgeon consol coupled to a patient consol, and the patient consol coupled to surgical instruments. A surgeon computer is coupled to or at the surgeon consol that is coupled to to one or more surgical instruments. A robotic surgery control system includes an artificial intelligence (AI) system with one or more deep learning algorithms. A feedback loop monitors and collects data from the one or more sensors. One or more cameras provide feedback to the robotic surgical system, and are configured to provide images of an anatomical object in at least a two dimensional (2D) arrangements of pixels / Deep learning algorithms of the AI system distinguish different anatomical objects from the images.

One or more data streams may be used for controlling multi-system interaction. For example, a data stream may be received, and a surgical option associated with a surgical instrument may be selected based on the data stream. A control signal associated with the surgical instrument may be generated based on the selected surgical option. A surgical device may receive an external data stream from a source external to the surgical system. The device may derive, based at least on the external data stream, decision contextual information. The device may select a surgical option associated with a surgical instrument based on the decision context information. The device may generate a visual indication of the decision context information associated with selecting the surgical option. The device may generate a control signal associated with the surgical instrument based on the selected surgical option.

The invention discloses an operating room intelligent monitoring method and system based on monitoring video recognition, and relates to the technical field of medical safety supervision, and the method comprises the steps: collecting a video through an operating room camera array, and constructing an operation region panoramic sequence through a residual neural network and an optical flow field; a double-branch target detection network is adopted to extract the position of a medical worker, the body position of a patient and the characteristics of surgical instruments, and a surgical scene model is constructed; performing trajectory tracking based on skeleton key point extraction and Kalman filtering, and constructing a dynamic graph of the operation process; generating an operation process state report by using the time sequence diagram convolutional network and a multi-head attention mechanism; and comparing the operation specification library through a knowledge distillation algorithm, and carrying out grading recording on abnormal events. According to the invention, efficient abnormal event tracking and recording functions are realized, technical support is provided for operation quality control and safety management, and the overall performance of operating room intelligent monitoring is improved.

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.

The invention discloses an ophthalmologic operation real-time navigation system and method based on dynamic visual field tracking, and relates to the technical field of medical systems. Comprising the following steps: matching operation data closest to a current operation from a database, and generating standard operation navigation of the current operation; the real-time image of the operation process is compared with the image of the standard operation navigation in real time, the step of the current operation is determined, and meanwhile subsequent image navigation of the operation of the patient is displayed; generating a spatial mapping matrix between an eyeball movement track and a target region by combining target region boundary data of preoperative OCT image segmentation and an intra-operative navigation coordinate system; the virtual navigation path of the surgical instrument is dynamically corrected according to the real-time eyeball movement track, so that the surgical instrument is aligned with the target area, the spatial relation between the instrument and the target area can be visually mastered through the overlapping display of the three-dimensional virtual path and the real-time image, unconscious displacement or physiological tremor of a patient in an operation is actively adapted, and the operation accuracy is improved. And the continuous accuracy of the navigation path is ensured.

Co-manipulation robotic systems are described herein that may be used for assisting with laparoscopic surgical procedures. The co-manipulation robotic systems allow a surgeon to use commercially-available surgical instruments while providing benefits associated with surgical robotics. 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 or a desired force applied by the instrument using the robot arm. For example, the robot arm may be moved automatically to maintain a constant tension force on an anatomical structure via the instrument in a constant tension mode.

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.

An ultrasonic surgical instrument includes an end effector including an ultrasonic blade, an ultrasonic waveguide, an ultrasonic transducer assembly, and a carrier. The acoustic waveguide includes at least a proximal portion thereof extending along a longitudinal axis. The ultrasonic transducer assembly includes a fixation member and is operatively connected to the acoustic waveguide such that the acoustic waveguide is in acoustic communication with an ultrasonic transducer. The carrier has at least a portion thereof engaged with the fixation member of the ultrasonic transducer assembly thereby inhibiting movement of the ultrasonic transducer assembly relative to the carrier. The carrier movably supports the ultrasonic transducer assembly along the longitudinal axis such that the ultrasonic transducer assembly is configured to move from a proximal position on the longitudinal axis to a distal position on the longitudinal axis for inserting the ultrasonic blade into a patient.

In the humanoid robot operation system provided by the embodiment of the invention, the mechanical arm is assembled on the trunk and is in communication connection with the host, the trunk is assembled on the moving mechanism, the trunk is internally provided with the host accommodating space so as to assemble the host in the host accommodating space, and the man-machine interface is assembled on the trunk and is in communication connection with the host. A generation type operation large model is deployed on the host, and the operation large model executes the following steps that basic medical record information, preoperative examination results and focus image data of a patient are received through a man-machine interface to construct a three-dimensional physiological structure model; performing feature analysis on the three-dimensional physiological structure model to mark a target surgical site and formulate a mechanical arm path according to the target surgical site; establishing a mapping relation between the path of the mechanical arm and the position of the patient to generate an action track sequence of the mechanical arm; according to the action track sequence, the moving mechanism is driven to move towards the position of the patient to reach the designated point position, and the mechanical arm is controlled to drive the surgical instrument to act so as to perform an operation on the target surgical site.

The present disclosure provides a surgical instrument, which comprises a lockout assembly that can be unlocked by a surgical staple cartridge, wherein the lockout assembly prevents a pair of closure plates and a firing bar of the surgical instrument from advancing distally when in a locked position, and allows the pair of closure plates and the firing bar to advance distally when in an unlocked position.

The invention relates to the technical field of medical image processing, in particular to an artificial intelligence assisted intraoperative imaging method, which comprises the following steps: S1, preprocessing a multi-modal medical image, segmenting and recognizing an anatomical structure by a deep learning model according to the preprocessed image, measuring anatomical parameters based on a segmentation and recognition result, and generating an operation planning path by artificial intelligence according to the anatomical parameters; s2, collecting a C-shaped arm perspective image stream in real time, dynamically tracking space coordinates of a surgical instrument, comparing the position of the instrument with a surgical planned path, calculating offset, and when the offset is greater than an offset threshold, outputting correction guidance through an AR superposition layer; and S3, monitoring an image quality index in real time, dynamically adjusting exposure parameters through a reinforcement learning model, and when a metal implant is detected, switching a dual-energy-spectrum mode and executing an artifact suppression algorithm. According to the method, preoperative precise planning and intraoperative assistance are realized through artificial intelligence, the problems of poor image quality and high radiation risk are solved through technical optimization, and the method has important clinical application value.

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.

The present disclosure provides a surgical staple cartridge and a surgical end effector assembly with bumps. The bumps are provided on the surgical staple cartridge and / or a staple anvil portion, the bumps are positioned and sized to limit rotation of the surgical staple cartridge and the staple anvil portion relative to each other in a closed configuration, and to define a gap between the surgical staple cartridge and the staple anvil, the gap limits a maximum pressure applied to tissue by the surgical staple cartridge and the staple anvil, and prevents the tissue from being excessively squeezed to flow to area with no staple line coverage or being unevenly squeezed within the area with staple line coverage and thus affecting a tissue sealing quality. The present disclosure also provides a surgical instrument comprising the surgical staple cartridge or the surgical end effector assembly.

A surgical staple cartridge includes installation poka-yoke features. The surgical staple cartridge is configured to be installed between a pair of closure plates of a surgical instrument. The closure plates are configured to push the surgical staple cartridge towards a staple anvil portion of the surgical instrument to clamp tissue between the surgical staple cartridge and the staple anvil portion. The surgical staple cartridge includes two opposite side walls extending in a longitudinal direction parallel to an installation direction of the surgical staple cartridge. A protrusion and / or a slot are provided on an outer surface of at least one of the side walls. The protrusion as well as the slot are configured to cooperate with corresponding features on the closure plates, so as to prevent an inappropriate installation of the surgical staple cartridge.

The present disclosure provides a staple cartridge for a surgical instrument having a staple and a staple pusher. The staple pusher has a recess forming a pocket in its top surface for receiving at least the backspan of the staple. The pocket is at least partially surrounded by a circumferential supporting element in the staple pusher body to support the backspan. The pocket provides additional vertical space and support for the staple such that a smaller staple cartridge may provide a substantially similar performance as conventional staple cartridges, allowing for a more compact and maneuverable surgical instrument. In addition, the pocket in the staple pusher allows for a staple having a larger bend radius than conventional staples, thereby providing additional support for the staple and minimizing malformation of the staple during use.

The invention provides a surgical process monitoring method and system based on machine vision, and the method comprises the steps: firstly obtaining a surgical scene real-time image sequence containing the dynamic images of a surgical instrument operation region and a biological tissue region; secondly, extracting a surgical instrument identification result (including an instrument type and a space posture) and a biological tissue segmentation result (including a tissue type and a region boundary), then monitoring an instrument operation track and a biological tissue region deformation parameter based on the results, generating a dynamic operation state parameter, and according to a predefined surgical stage safety threshold value, determining a biological tissue region deformation parameter; multi-modal anomaly detection is carried out on the dynamic operation state parameters, an abnormal event type and a risk level are determined, finally, a visual operation monitoring report is generated according to the abnormal event type and the risk level, the report covers abnormal area marks, risk prompt information and correction suggestions, comprehensive intelligent monitoring of the operation process is achieved, and the operation safety and the success rate are improved in an auxiliary mode.

An ultrasonic surgical instrument includes an end effector having an ultrasonic blade, an ultrasonic transducer assembly, and a shaft assembly. The shaft assembly includes a tube, and an waveguide. The waveguide is received within the tube and is acoustically connected between the ultrasonic blade and ultrasonic transducer assembly to communicate ultrasonic vibrations from the ultrasonic transducer assembly to the ultrasonic blade. The waveguide includes an acoustic body, a first isolation structure, a second isolation structure and a sheath. The acoustic body extends along a longitudinal axis. The first isolation structure radially extends about the acoustic body. The second isolation structure radially extends about the acoustic body and is longitudinally spaced from the first isolation structure. The sheath is radially positioned between the first isolation structure and the tube and is further radially positioned between the second isolation structure.

The present disclosure provides a staple cartridge for a surgical instrument, such as a tissue sealing instrument. The staple cartridge includes a housing and one or more staple assemblies within the housing. The staple assemblies each include one or more staple pushers and associated staples. The staple pushers and housing include coupling elements configured to cooperate with each other to retain the staple assemblies to the housing prior to use in surgery. The coupling elements, along with other components of the cartridge and instrument, result in a smaller staple cartridge relative to conventional devices, allowing for a more compact and maneuverable surgical instrument.

The invention relates to a biological soft tissue virtual simulation method and system and a medium, and the method comprises the following steps: constructing a three-dimensional soft tissue model based on medical image data, dispersing the three-dimensional soft tissue model into a particle system, and binding initial constraint parameters; detecting collision between the particles and the surgical instrument based on a symbolic distance field technology, if collision is not detected, outputting the positions of the particles, generating a simulation result, if collision is detected, applying repulsive force to the particles to correct a deformation path, judging whether stress is balanced or the maximum number of iterations is reached, if yes, returning to perform collision detection, and if not, returning to perform collision detection. The particle speed is updated in real time, the particle motion trend is predicted through an implicit time integration algorithm, position constraint, volume constraint, shape constraint and physical constraint are solved in a coupling mode through a Gaussian-Seidel iteration method, constraint rigidity is dynamically adjusted to be matched with real organization characteristics, and the particle position is updated. Compared with the prior art, the method has the advantage that deformation accords with a real physical change rule.

The invention relates to the field of medical image segmentation, and discloses a precision surgery-oriented robot medical image segmentation and feature extraction method, which comprises the steps of constructing a dynamic segmentation network model of a bidirectional attention architecture, and inputting a preprocessing module for feature extraction and generating a multi-scale feature pyramid; the Transform coding branch is used for time sequence feature modeling and outputting a time sequence enhancement feature; the convolutional coding branch is used for enhancing anatomical features and surgical instrument features and outputting spatial enhancement features; the multi-stage feature fusion unit is used for performing multi-stage iterative fusion and outputting final fusion features; the decoding output module is used for decoding and generating pixel-level segmentation masks of the anatomical structure and the surgical instrument; training the dynamic segmentation network model; and performing medical image segmentation and feature extraction based on a medical image video sequence input in real time by using the trained dynamic segmentation network model. Accurate segmentation of anatomical tissues and dynamic instruments in an operation scene is realized.

The invention relates to an operation auxiliary system and method based on image processing, and the method comprises the steps: obtaining a preoperative medical image of a patient, collecting a multispectral imaging medical image of a surface structure, blood flow distribution and tissue elasticity of an operation region in real time, carrying out the image feature extraction after preprocessing, obtaining a preoperative image feature and an intraoperative multispectral image feature, and carrying out the image feature extraction; constructing a biomechanical organ model, updating tissue deformation parameters of the biomechanical organ model, performing space-time alignment on the intraoperative multispectral image features and the biomechanical organ model, generating a three-dimensional enhancement model including vascular topology, lesion boundary and elastic distribution, and superposing the three-dimensional enhancement model to a real-time surgical field image to obtain a real-time surgical field image. Marking the relative position of the surgical instrument and the risk area, generating an intervention signal when the instrument is close to a critical safety distance threshold value, and performing surgical operation by a doctor under assistance. Multi-dimensional intraoperative information is obtained through multi-spectral imaging to construct a high-precision dynamic biomechanical model, and precise navigation and active intervention are achieved in combination with the augmented reality technology.

A system and method for using augmented reality device for use during a surgical procedure are described. A system may include an augmented reality device to present a virtual indication, such as a virtual indication of a surgical instrument, a force vector, a direction, or the like. The augmented reality device may present a virtual aspect of a procedure, such as a virtual animation of a step of a procedure. The augmented reality device may present a virtual object, indication, aspect, etc., within a surgical field while permitting the surgical field or aspects of the surgical field to be viewed through the augmented reality display (e.g., presenting virtual objects mixed with real objects).

The invention discloses a remote medical interaction method based on virtual reality, and particularly relates to the field of remote medical interaction.The method comprises the steps that by synchronously collecting multi-modal tactile data and transmission state parameters of a patient end, a joint feature vector is established, and the transmission delay of each modal tactile signal is predicted in real time. The method comprises the following steps: extracting sensitivity indexes of an operation stage and a tactile signal through a doctor end real-time image, calculating a reward value in combination with a double-branch regression network, updating a modal transmission strategy, and generating a dynamic priority distribution matrix; based on the matrix, optimizing a bandwidth slicing strategy and performing signal compensation by combining a real-time network state and delay prediction; in addition, switching and pathological mutation of surgical instruments are detected, priority distribution is dynamically adjusted, and efficient transmission and operation feedback of tactile signals are ensured.

Systems and subsystems for closing an end effector of a stapler are disclosed. More specifically, the present disclosure relates to systems, devices, and subsystems for attachments for robotic surgeries. The surgical instrument is a robotic attachment. The surgical instrument includes a closure subsystem that moves independently of other subsystems that are operable independently of each other.

The invention discloses a surgical instrument segmentation method based on a double prior guidance network, and the method specifically comprises the steps: constructing a hybrid encoder composed of a visual basic model and a state space model, and carrying out the coding processing of an input surgical endoscope image; the visual basic model is an SAM2-Hira model; the state space model is a MambaVision model; an adapter layer composed of a standard adapter and a Mama enhancement adapter is arranged between the coding layer and the decoding layer, and coding features are processed; setting a multi-context guide decoder, and performing multi-scale feature recovery and mask segmentation; a hybrid encoder, a Mama enhancement adapter and a multi-context guidance decoder form a double-priori guidance network DPG-Net, and high-precision surgical instrument segmentation is realized by using the DPG-Net. Accurate visual support is provided for the surgical robot, and the accuracy and safety of surgical operation are greatly improved.

Co-manipulation robotic systems are described herein that may be used for assisting with laparoscopic surgical procedures. 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.

Device and methods for visualization of automated surgical system decisions. An example device may select a candidate action to perform based on steps of a surgical procedure and the effects of the candidate action. The effects may include whether the candidate action will impair the ability of a surgical instrument to perform a later step in the procedure. The candidate action may involve initial device placement, device movements, port placement, and / or the like.

Systems, methods, and instrumentalities are disclosed for dynamically determining an activation mode (e.g., energy modality and / or energy level) of a surgical instrument based on monitored data. The surgical instrument may be a combination energy device capable of delivering ultrasonic energy and radiofrequency energy. The surgical instrument may monitor data associated with a surgical procedure. The surgical instrument may select an activation mode from the plurality of activation modes based on the monitored data. The surgical instrument may deliver energy of an energy modality associated with the selected activation mode. Monitored data may include visual data, electrical data, and / or mechanical data.

Device and methods for visualizing internal processes of an automated operation. An example device may receive an external data stream from a source external to the surgical system. The device may derive, based at least on the external data stream, decision contextual information. The device may select a surgical option associated with a surgical instrument based on the decision context information. The device may generate a visual indication of the decision context information associated with selecting the surgical option. The device may generate a control signal associated with the surgical instrument based on the selected surgical option.