9535results about "Diagnostics" patented technology

A stop for use with an electric drill bit, the stop having at least one threaded sleeve for positioning the stop relative to a surface into which the drill bit will extend. The stop may have both an inner and an outer sleeve. The sleeves are mounted coaxially, one inside the other about the drill bit. One of the sleeves, preferably the inner sleeve, provides coarse adjustment of the position of the shoulder relative to the tip of the bit, while the other, preferably the outer sleeve, provides fine adjustment of the position of the shoulder relative to the top of the bit.

Examples of a self-supported device for guiding motions of a target joint of a target body are disclosed. The device comprises a motion generator, a motion transfer system, a target body interfacing system, a load bearing system and a controller. The load bearing system comprises a plate connected to the motion transfer system and a network of joints and links configured to constrain the plate to rotate in three dimensions about a center of rotation of the load bearing system. A position of the center of rotation of the load bearing system being adjustable by adjusting a connection point between the links. The plate of the load bearing system is connected to an adjustable target body interfacing system that is configured to be mounted to the target body. The center of rotation of the load bearing system coincides (or nearly coincides) with a center of rotation of the target joint of the target body.

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.

A patient specific instrument is disclosed for correcting a condition present in a patient. The patient specific instrument includes a body that includes an inferior side having a bone engagement surface shaped to match a first surface of a first bone and a second surface of a second bone of a joint. The instrument also includes a superior side having a first guide feature and a second guide feature that together, with the bone engagement surface overlying the first surface and the second surface, are positioned to guide resection of the first bone and the second bone during a surgical osteotomy for correcting the condition. The body is configured to seat transverse to the joint with the bone engagement surface engaging the first surface of the first bone and the second surface of the second bone.

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.

A robotic surgical system network includes a plurality of robotic surgical systems. Each system includes robotic arms, sensors, a surgeon console, and a control system with an integrated AI module. A network interface is associated with robotic surgical system and provides secure data communication. A central or distributed data repository securely stores surgical data aggregated from the robotic surgical systems. The surgical data includes at least one of procedural data, sensor readings, imaging data, AI decision logs, surgical outcomes, or user interaction data. A training module utilizes aggregated surgical data to train or update AI models for the robotic surgical systems using unsupervised learning, transfer learning, or federated learning techniques. A cybersecurity module implements security measures for data transmission and system access, the measures comprising at least one of encryption, multi-factor authentication, or real-time threat detection.

Surgical robotic systems and navigation systems employ a robotic arm including a plurality of links. A link tracker assembly is located on the surface of one or more of the links to enable the link to be tracked by a localizer. The link tracker assemblies can utilize a plurality of tracker elements that can be removably coupled to the link. A photosensor assembly is located on the surface of one or more of the links to receive signals from the localizer for controlling the link tracker assembly. The robotic arm can be coupled to a base and the systems can be used in collaboration with a base tracker that is coupled to the base. The robotic arm can also include a mounting interface for receiving an end effector and the systems can be used in collaboration with an end effector tracker that is coupled to the end effector.

Neurovascular flow diverter and delivery systems, and methods of using the same are disclosed herein. The systems can include an introducer sheath, a catheter, a deployable flow diverter that can be contained in the introducer sheath or in the catheter, a core wire, and one or several deployment features coupled to the core wire and engaging the flow diverter. The deployment features can include one or more of a pusher, one or several friction bumps, one or several deployment coils, a claw mechanism, a self-expanding element, a supporting coil, a tip coil, and / or an atraumatic tip. One or more of the deployment features can be radiopaque.

The invention involves a system and method for increasing positional accuracy of surgical systems that utilize magnetic or electromagnetic sensors to provide positional awareness to a surgeon or robot performing the surgery. The system takes advantage of electromagnetic tracking through sensors. These sensors are very accurate and repeatable, while being compact enough to not inhibit surgical procedures. The accuracy and repeatability of the sensors is <1 mm within a predetermined 6 inch×6 inch performance motion box. The system is constructed and arranged to map the distortion patterns of the sensor and, in real time, correct the distortion pattern to provide accurate location of anatomical structures for performance of a surgery.

The invention provides a motion control method of a surgical robot and a surgical robot system. In accordance with an example of the present application, the surgical robotic system includes a manipulator assembly that is movable under actuation of an actuator; the method comprises the following steps: determining whether the manipulator assembly collides or not, wherein the collision comprises an imminent collision or an already-collided collision; in response to the collision of the manipulator assembly, adjusting a control parameter of the actuator to reduce a current output of the actuator; the manipulator assembly is actuated by the actuator to move. The motion state of the manipulator can be adjusted in time, and damage caused by collision is effectively reduced; meanwhile, adjustment can be carried out when it is detected that the manipulator assembly collides, the motion tracking performance of the manipulator assembly is effectively maintained without the collision risk, and the accuracy of the operation is improved.

Systems for producing a cosmetic effect in skin tissue of a patient are provided. The systems include a treatment module and an actuation assembly. The treatment module includes at least one coring element configured to remove a portion of skin tissue when the coring element is inserted into and withdrawn from the skin tissue. The actuation assembly is operably attached to the treatment module and can translate and / or actuate the treatment module in one or more directions relative to a surface of the skin tissue. The system can perform a microcoring procedure that provides a cosmetic effect to the patient. Methods of performing a microcoring procedure are also provided.

The invention is directed to a hemostasis therapeutic compression system including an apparatus and system to stop bleeding and assist recovery at a wound location. The hemostasis therapeutic compression apparatus includes a bladder having a transparent portion to visualize the bleeding wound location as well as having one side with an interface pressure sufficient to stop bleeding at the wound site, and the wrap has as an elongated tab as part of a hook and loop portion for self-application by the user or patient. The hemostasis therapeutic compression apparatus includes compression not just on the bleeding wound site but alongside the site for increased and faster recovery and less complications. The transparent portion of the bladder may be in the shape of a circle, oval, kidney, elongated kidney, square, rectangle, "U", "C", and other known shapes depending on the size and location of the bleeding wound site on the limb.

Novel tools and techniques are provided for implementing intelligent assistance (“IA”) or extended intelligence (“EI”) ecosystem for pulmonary procedures. In various embodiments, a computing system might analyze received one or more first layer input data (i.e., room content-based data) and received one or more second layer input data (i.e., patient and / or tool-based data), and might generate one or more recommendations for guiding a medical professional in guiding a surgical device(s) toward and within a lung of the patient to perform a pulmonary procedure, based at least in part on the analysis, the generated one or more recommendations comprising 3D or 4D mapped guides toward, in, and around the lung of the patient. The computing system might then generate one or more XR images, based at least in part on the generated one or more recommendations, and might present the generated one or more XR images using a UX device.

The invention provides a digestive tract reconstruction device for protecting an anastomotic stoma, and relates to the field of medical instruments. The device comprises a nail anvil assembly, a nail bin assembly, a connection closing assembly and an anastomotic stoma protection assembly. A rotary guide mechanism is arranged in the nail bin assembly and drives the nail anvil assembly to rotate by a preset angle during axial movement, so that the short shaft of the oval nail anvil is aligned with the long shaft of the anastomotic stoma and exits without interference. And barbs are arranged in the cutting knife to hang and cut tissues, so that the nail anvil can be greatly overturned. The anastomotic stoma protection assembly comprises a degradable gasket and a folding flow guide tube, and the flow guide tube retreats and is unfolded along with the nail anvil to cover the anastomotic stoma and isolate pollutants. The mechanical injury of the anastomotic stoma when the nail anvil is withdrawn can be avoided, and the risks of infection, bleeding and leakage of the anastomotic stoma after operation are effectively reduced.

A system for correcting a lateral curvature of a spine that can include a plurality of screws configured to be implanted in a plurality of vertebrae, and a plurality of extensions configured to be removably coupled with the plurality of screws. Some embodiments of the plurality of extensions can be curved, bent, angled, and / or offset along at least a portion thereof and can be removably coupled with a screw head of each of the plurality of screws. The system can include a connecting element or rod that is configured to be coupled with the plurality of screw heads. Some embodiments of the system can be configured such that the rod can be guided along the plurality of extensions from the proximal toward the distal end portions of the extensions and into engagement with the plurality of screws to cause the plurality of vertebrae to move laterally.

Techniques for displaying an extended reality (XR) indication of a potential collision between a portion of an object and a portion of a computer-assisted system include the following. The computer-assisted system comprises a sensor system configured to capture sensor data of an environment, and a control system communicably coupled to the sensor system. The control system is configured to: determine a pose of a portion of an object in the environment based on the sensor data, determine a pose of a portion of the computer-assisted system, determine at least one characteristic associated with a potential collision between the portion of the object and the portion of the computer-assisted system, select the potential collision for display based on the at least one characteristic, and cause an XR indication of the potential collision to be displayed to an operator via a display system.

An exoskeleton system comprising at least one leg actuator unit configured to be coupled to leg of a user, the leg actuator unit including: an upper arm and a lower arm that are rotatably coupled via a joint, the joint positioned at a knee of the user with the upper arm coupled about an upper leg portion of the user above the knee and with the lower arm coupled about a lower leg portion of the user below the knee, a leg-actuator-unit user interface comprising a plurality of input and feedback elements, and an actuator that extends between the upper arm and lower arms.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a sexual performance health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the sexual performance health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. A machine learning model is used to generate a second treatment plan that modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.

The invention provides an intelligent vein closing system and a control method thereof, and belongs to the technical field of medical instruments.The intelligent vein closing system comprises a radio frequency generator host and a closing catheter, and the radio frequency generator host is used for generating and controlling output of radio frequency energy; the closed catheter comprises a handle, a catheter body and a heating working end which are connected in sequence, and the handle is detachably connected with the radio frequency generator host; wherein an infusion pump is integrated on the radio frequency generator host, and the infusion pump is used for infusing swelling liquid to a surgical site and is controlled by a control unit in the radio frequency generator host; a pressure sensor array is arranged outside the heating working end of the closed catheter and used for detecting the attaching pressure between the heating working end and the blood vessel wall in real time. The device is high in integration, and vein closing effectiveness, stability and treatment consistency are improved.

The invention provides an intraoperative real-time navigation system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for obtaining the three-dimensional form data of a liver and a biliary tract through an intraoperative ultrasonic imaging device, and collecting the elastic modulus distribution parameters of liver parenchyma and a bile duct wall; the construction registration module is used for constructing a real-time digital twin in the liver and gall area based on the three-dimensional form data and the elastic modulus distribution parameters, and carrying out multi-mode non-rigid registration on the digital twin and the liver surface topography and the vascular structure which are subjected to optical coherence tomography in the operation; therefore, a dynamic space mapping relation between the organ structure and the image data is established. According to the method, real-time navigation in the operation is realized through digital twinning, the obstacle avoidance path is updated, and the safety and efficiency in the operation are improved.

The invention relates to the technical field of medicine, in particular to a neurosurgery navigation system and method based on light projection, the system comprises an image acquisition unit, a data processing unit and a projection unit, the data processing unit is integrated with a deformation simulation engine, a first AI module, a second AI module and a third AI module; compared with the prior art that navigation depends on static preoperative images, and guide information distortion is caused by intraoperative tissue displacement, according to the scheme, soft tissue deformation is dynamically compensated by establishing a real-time digital twin model and integrating a physical deformation simulation engine, so that navigation information can continuously and accurately cover a real anatomical position, and the navigation accuracy is improved. The problem of guiding errors is effectively solved, and the reliability and accuracy of an operation are greatly improved.

The invention belongs to the technical field of medical treatment, and discloses a surgical robot arm joint torque collaborative optimization and trajectory tracking control method, which comprises the following steps of: dynamically associating a tissue viscoelasticity characteristic with a joint torque through biomechanics-multi-body dynamics coupling modeling to form a'mechanics-injury 'double-constraint mechanism; a damage early warning factor is introduced into the memory enhanced controller, torque output is adjusted in real time when an instrument interacts with a tissue, and traction damage caused by overlarge load of a single joint is avoided; meanwhile, the digital twin system prejudges potential risks in advance, the threat of surgical operation to fragile tissues is reduced from modeling, control to verification of a whole link, and a safety guarantee is provided for operation in a fine surgical area; through staged dynamic weight optimization, target adaptive adjustment of different operation stages is realized; the multi-modal sensing fusion architecture combines flexible sensing and image data, and improves the sensing precision of a complex organization environment.

Devices and methods are disclosed for improved followability in laser-based ocular procedures. In some embodiments, an ophthalmic instrument comprises a projection located at the distal end of the shaft or cannula, the projection having a distal surface in proximity to the distal end of the optical fiber, the distal surface adapted to be positioned facing the treatment area during use of the ophthalmic instrument. An example method includes delivering laser energy through an optical fiber to the treatment area, wherein the distal surface of the projection inhibits bubbles formed during the procedure from moving distally away from the distal end of the ophthalmic instrument.

Robot calibration is crucial in multi-robot cooperative systems where the inaccuracy of robots can add up and cause large errors in the final trajectory of handled parts or process tools. In this work, a two-step calibration approach is proposed based on artificial neural networks (ANNs) and definition of compensated pose for a master-slave cooperative robot system. Measuring the pose of master and slave robots at different locations in their shared workspace is required to create pairs of joint angles and output pose errors as training data. The generated data is used to train two ANN models for compensating the master-slave relative error and the master robot errors. The master-slave relative error is corrected by introducing a compensated pose for the slave robot with respect to the master robot. A neural network is then trained to predict the error parameters of the compensated pose for the joint angles of both robots as the input. The master robot is then corrected individually using another ANN model to address the absolute accuracy of the cooperative system.Measurements and simulations have been performed on a dual-robot cooperative system before and after geometric calibration. The process of cross validation is carried out to find the best network architecture for the optimal performance in correcting the robots'errors. It has been shown that even after pre-existing model-based calibration of each robot, both the absolute accuracy of the master robot and the relative tracking accuracy can be further improved by the proposed implementation of ANN calibration.

The invention particularly relates to a thrombectomy device, which comprises a capturing bracket, one end close to the far end of the capturing bracket is connected with a far-end spring, and one end close to the near end of the capturing bracket is connected with a pushing guide wire; the capturing bracket is formed by weaving a plurality of groups of weaving wires; one end of the thrombus breaking support is connected with one end, close to the far end, of the capturing support, and the other end is connected with one end, close to the near end, of the capturing support through a flexible wire; the thrombus breaking bracket is arranged in the capturing bracket; the flexible wires are straight wires or wavy wires; when the capturing support moves towards the near end, the thrombus breaking support moves along with the capturing support, elastically deforms and cuts thrombus located in the capturing support. The flexible wire can drive the thrombus breaking support to shake, and the thrombus breaking support in the shaking state has a better cutting effect on thrombus located in the capturing support. The metal coverage rate of the end, close to the far end, of the thrombus extraction device is increased through cooperation of the capturing support and the thrombus breaking support, and small thrombus is prevented from escaping towards the far end.

The invention relates to the technical field of perforation early warning, in particular to an ESD perforation early warning system and method based on deep reinforcement learning. A data acquisition unit of the system is used for acquiring multi-modal data of a current cutting area, a data processing unit is used for performing data processing on the multi-modal data to obtain early warning processing data, and a data fusion unit is used for performing weight distribution on each piece of data in the early warning processing data and then outputting the early warning processing data. Performing fusion processing on each piece of data in the early warning processing data by using the distributed weight to obtain early warning fusion data; the model processing unit performs perforation risk prediction on the early warning fusion data by using a preset deep reinforcement learning model to obtain a risk prediction value; and the perforation early warning unit judges the risk prediction value by using a preset risk model and then sends out perforation early warning information. According to the invention, real-time and accurate auxiliary decision-making in the operation is provided for medical staff, the perforation rate in the ESD operation is obviously reduced, and the operation safety and efficiency are improved.

A surgical instrument designed to operate with a robotic platform is disclosed. The surgical instrument assembly includes a shaft, an end effector, a knife firing subsystem to actuate functions of the end effector, an articulation subsystem that is actuatable to articulate the end effector, an articulation joint about which the end effector articulates, a roll subsystem to roll the shaft, and a housing that couples to the robotic platform. A maypole tube is further provided, around which one or more articulation cables can wrap when the end effector is rotated.

Surgical systems and methods involve a robotic arm comprising a plurality of links and joints and a surgical tool supported and moveable by the robotic arm and being configured to interact with an anatomy. Controller(s) coupled to the robotic arm are configured to estimate robotic arm deflection based on the tool interaction and / or characterize tool-anatomy interaction based on estimated arm deflection. To estimate the robotic arm deflection, the controller(s) input the pose of the surgical tool and the tool interaction force to a machine learning model. To characterize the interaction of the surgical tool with the anatomy, the controllers(s) input an operating parameter of the surgical tool and the estimated deflection into a machine learning model.

Exemplary task-agnostic exoskeleton control system and method are disclosed that are task-agnostic utilizing instantaneous estimates of biological joint moments from deep neural networks to assist the user movements. The exemplary control system employs multiple body sections and joints in-the-loop estimation to provide multi-joint assistance operation, e.g., within an autonomous, clothing-integrated exoskeleton. The exemplary control system may deploy a deep domain adaptation (DDA) method configured to translate human movement data between a simulated sensor domain and a real sensor domain.

The invention discloses a neurosurgical operation navigation method which comprises the following steps: performing three-dimensional reconstruction according to brain image data of a patient to obtain an initial brain three-dimensional model, and planning a target operation path; obtaining a two-dimensional ultrasonic image collected by an ultrasonic tool and position information of the ultrasonic tool, and performing reconstruction to generate a three-dimensional ultrasonic image; correcting the initial brain three-dimensional model according to the three-dimensional ultrasonic image to obtain a corrected brain three-dimensional model; in the puncture operation process, real-time advancing position information and a real-time intracerebral image of the endoscope positioning guide wire tool are obtained in real time, and a navigation image is generated in combination with the corrected brain three-dimensional model; and displaying a navigation image, and indicating a position relationship between the real-time advancing position and the target surgical path, so as to navigate the surgical operation process. According to the technical scheme provided by the invention, the puncture operation process of the neurosurgery can be navigated more accurately and perfectly, and meanwhile, the influence of brain drift on the navigation accuracy can be avoided.