222 results about "Surgery procedure" patented technology

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 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.

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 system comprising a surgical instrument and a surgical hub is disclosed. The surgical instrument is configured to perform a surgical procedure and comprises a housing, a shaft assembly, an end effector, and a sensor configured to sense a parameter associated with a function of the surgical instrument. The surgical hub comprises a processor and a memory. The memory stores instructions executable by the processor to receive data from the sensor, wherein the data comprises the parameter associated with the function of the surgical instrument; infer a step of the surgical procedure being performed by the surgical instrument, based on the data from the sensor; receive data from a database, wherein the data from the database is associated with the step of the surgical procedure; compare a value of the parameter to the data received from the database; and control the surgical instrument based on the comparison.

A surgical robot system, a control method and a computer-readable storage medium can be used with or for a surgical procedure on a patient. The system can include at least one patient fixation unit adapted to be rigidly and directly attached to the patient to rigidly fix at least one body part of the patient with an intervention region relative to the patient fixation unit. At least one controllable surgical robot has a robot base directly connected to the patient fixation unit, and a movable robot arm connected to the robot base. An end effector, in particular a surgical instrument, can be connected to, in particular mounted on, the robot arm, in particular to a terminal side of the robot arm.

A surgical system for use in a surgical procedure is disclosed. The surgical system includes a surgical instrument including an end effector configured to treat tissue at a surgical field during the surgical procedure, a surgical visualization system configured to track the surgical instrument in the surgical field, and a control circuit configured to derive a first data set from the surgical visualization system indicative of a visual aspect of the surgical instrument relative to the surgical field, derive a second data set from the surgical instrument indicative of a functional aspect of the surgical instrument, and correlate the first data set with the second data set.

An augmented reality (AR) display system for a surgical environment includes a wearable AR display device, a scope, and processing circuitry. The wearable AR display device is configured to be worn by a surgeon and provide AR imagery to the surgeon. The scope is configured to be inserted into a patient. The processing circuitry is configured to obtain real-time image data from the scope, X-ray image data of the patient, and navigation data for a surgical procedure of the patient. The processing circuitry is also configured to generate an AR environment that includes the real-time image data, the X-ray image data, and the navigation data. The processing circuitry is also configured to operate the wearable AR display device to provide the AR environment including the real-time image data, the X-ray data, and the navigation data as the AR imagery.

A surgical robot is coupled to the surgeon console. The surgical robot performs a robotic surgical procedure. The surgical robot includes one or more robotic surgical arms. A control system is coupled to the one or more robotic surgical arms. An artificial intelligence (“AI”) system includes a plurality of machine learning algorithms. The robotic surgical arms are at least partially controlled by the AI system and the control device to process intraoperative data including images captured by cameras and sensor inputs. The machine learning algorithms analyze the intraoperative data in real time, comparing it with stored images and procedural information in image recognition and procedure databases. The one or more machine algorithms enable at least partial identification of anatomical structures. In response to detection of the anatomical structures the AI system at least partially adjusts movement of the robotic surgical arms to avoid critical anatomical structures while performing the robotic surgery procedure to ensure precise targeting at the surgical site while minimizing damage to surrounding tissue at a surgical site. The AI system provides a surgeon with improved dexterity when the surgeon uses the robotic surgical arms at the surgical site, the improved dexterity resulting from at least partially analyzing the intraoperative data in real time by the one or more machine learning algorithms, enabling precise and adaptive manipulation of the robotic surgical arms at the surgical site.

A method of teaching a surgical procedure includes transmitting a first video, from a first location to a second location remote from the first location, of a surgeon in an operating room performing the surgical procedure on a patient with at least one surgical instrument. The method also includes transmitting a second video, from the first location to the second location, of the surgical instrument during the surgical procedure, annotating the second video with at least one annotation, and transmitting, from the first location to the second location, the at least one annotation overlaid on the second video.

Methods of generating a surgical operative note for a surgical procedure, such as a spinal surgical procedure, and associated systems and devices are disclosed herein. In some embodiments, a representative method includes capturing surgical procedure data of the surgical procedure with a sensor array positioned to view the surgical procedure, and identifying features in the surgical procedure data relevant to the surgical procedure. The method can further comprise processing the identified features to provide contextual information about the surgical procedure, and utilizing an artificial intelligence (AI) application to generate the operative note based on the identified features and the contextual information. The operative note can include a natural language, structured, and coherent description of the surgical procedure that summarizes the surgical procedure, including the type of surgery performed, specific surgical techniques used, intraoperative findings, and / or postoperative care instructions.

Disclosed are systems and methods for an endoscope or other surgical instruments to automatically sense when it's placed inside or outside of a trocar or a cannula. Operational setting of the endoscope may be adjusted as a function of the detected environmental condition to improve the function of the endoscope and the safety of a surgical procedure. The endoscope may include a sensor to sense a tag embedded in a trocar or cannula. The endoscope may transmit sensing information to a controller of a surgical robotic system to indicate that the endoscope has been inserted into the trocar or cannula. The controller may generate configuration information corresponding to the sensed state. The controller may transmit the configuration information to the endoscope to configure the endoscope to operate in the state. In another aspect, the endoscope may wirelessly communicate with another surgical instrument to receive operational information from the surgical instrument.

A surgical simulator for surgical training is provided. The simulator includes a frame defining an enclosure and a simulated tissue model located inside the frame. The simulated tissue model is adapted for practicing a number of surgical procedures including but not limited to transanal excisions and transvaginal hysterectomies. Portions of the frame comprises a material adhesively compatible with the material of portions of the simulated tissue model to secure and suspend the simulated tissue model within the frame. The simulated tissue model may also include simulated vasculature configured to loop through apertures in the frame to secure and suspend the simulated tissue model within the frame.

A variety of surgical procedures may be performed on the bones of the foot, such as on one or more lesser metatarsals of the foot positioned laterally of the first metatarsal. For example, a surgical procedure may involve cutting an end of one or both of a second metatarsal and an intermediate cuneiform and / or cutting an end of one or both of a third metatarsal and a lateral cuneiform. The tarsometatarsal joints defined be one or both sets of bones may be cut to treat an arthritic joint, metatarsus adductus, and / or other clinical condition. In any case, various surgical instruments can be utilized during a procedure to help increase the accuracy and repeatability of the procedure patient-to-patient, improving overall patient outcomes and making it less invasive. For example, one or more cut guides having tissue control features may be utilized during procedure.

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.

A surgical robot is coupled to the surgeon console. The surgical robot performs a robotic surgical procedure. The surgical robot includes one or more robotic surgical arms. A control system is coupled to the one or more robotic surgical arms. An artificial intelligence (“AI”) system includes a plurality of machine learning algorithms. The robotic surgical arms are at least partially controlled by the AI system and the control device to process intraoperative data including images captured by cameras and sensor inputs. The machine learning algorithms analyze the intraoperative data in real time, comparing it with stored images and procedural information in image recognition and procedure databases. The one or more machine algorithms enable at least partial identification of anatomical structures. In response to detection of the anatomical structures the AI system at least partially adjusts movement of the robotic surgical arms to avoid critical anatomical structures while performing the robotic surgery procedure to ensure precise targeting at the surgical site while minimizing damage to surrounding tissue at a surgical site. The AI system provides a surgeon with improved dexterity when the surgeon uses the robotic surgical arms at the surgical site, the improved dexterity resulting from at least partially analyzing the intraoperative data in real time by the one or more machine learning algorithms, enabling precise and adaptive manipulation of the robotic surgical arms at the surgical site.

A surgical method includes, for example, tracking, via at least one camera attached to a robotic arm of a surgical robot, a surgical site of a patient, the robotic arm having a plurality of joints and a plurality of body parts, controlling the robotic arm to perform a surgical procedure at the surgical site of the patient based on the camera tracked surgical site of the patient, and wherein the tracking comprises controlling the movement of the plurality of joints and body parts of the robotic arm to maintain a line of sight of the at least one camera directed towards the surgical site of the patient.

The present disclosure relates to dynamically providing machine learning models to a target device for a surgical procedure. An exemplary method can comprise: identifying a user profile associated with the surgical procedure; determining, based on the identified user profile, a plurality of candidate procedures; obtaining data from one or more devices in a surgical environment associated with the surgical procedure; selecting at least one procedure from the plurality of candidate procedures based on: the data obtained from the one or more devices, and one or more weights associated with the data obtained from the one or more devices; identifying a machine learning model based on the selected at least one procedure; and providing the identified machine learning model to the target device for execution.

A surgical robot is coupled to the surgeon console. The surgical robot performs a robotic surgical procedure. The surgical robot includes one or more robotic surgical arms. A control system is coupled to the one or more robotic surgical arms. An artificial intelligence (“AI”) system includes a plurality of machine learning algorithms. The robotic surgical arms are at least partially controlled by the AI system and the control device to process intraoperative data including images captured by cameras and sensor inputs. The machine learning algorithms analyze the intraoperative data in real time, comparing it with stored images and procedural information in image recognition and procedure databases. The one or more machine algorithms enable at least partial identification of anatomical structures. In response to detection of the anatomical structures the AI system at least partially adjusts movement of the robotic surgical arms to avoid critical anatomical structures while performing the robotic surgery procedure to ensure precise targeting at the surgical site while minimizing damage to surrounding tissue at a surgical site. The AI system provides a surgeon with improved dexterity when the surgeon uses the robotic surgical arms at the surgical site, the improved dexterity resulting from at least partially analyzing the intraoperative data in real time by the one or more machine learning algorithms, enabling precise and adaptive manipulation of the robotic surgical arms at the surgical site.

The invention provides an amnion-loaded contact lens and a preparation method and application thereof. According to the invention, the bonding mode of the amniotic membrane and the contact lens is innovated, the previous mode of simply bonding the amniotic membrane and the contact lens by using medical biological glue is changed, the bonding procedure of the amniotic membrane and the contact lens is simplified, and the method is suitable for industrial application; the problems that the mechanical supporting force is reduced, the amniotic membrane is broken and the coverage is uneven due to the fact that the ocular surface coverage time of a traditional suture type amniotic membrane is prolonged are solved; in the aspect of material optimization and selection, the basic requirement of non-toxicity and harmlessness of the adhesive is met, and meanwhile, the requirements of biocompatibility and the oxygen permeability of the cornea on the contact lens are also considered; the amniotic membrane is more comfortable in the using process, complex operation procedures are not needed, and stimulation caused by no suture is avoided; the design scheme that the contact lens is used as the amniotic membrane support enables the amniotic membrane lens to provide better support and protection for the covered ocular surface.

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.

Systems and methods are provided for performing tensionable knotless surgical procedures. A suture locking device that includes a one-way locking mechanism may be utilized for tensioning and locking one or more strands of suture during the surgical procedure. The one-way locking mechanism may be established by one or more locking barbs of the suture locking device.

The present invention provides for improved interbody cage devices using surgical methods for delivering such cage into the disc space. The present invention has at least one advantage of providing practical and advantageous methods for accessing the spinal disc space to insert and deploy interbody cage devices in various manners that overcome the disadvantages of posterior, trans-sacro-iliac, anterior, oblique and lateral approaches thereto and minimize surgical trauma to the patient. Thus, the present invention provides for the unmet need for improved interbody cage devices which may be inserted to a disc space for patients exhibiting a wide range of anatomies.

This disclosure relates to surgical systems and methods for planning and implementing surgical procedures. The systems and methods disclosed herein may be utilized for implant design and placement. The disclosed implants may include one or more fixation members for securing the respective implant at a surgical site. The implant design may establish a geometry of each fixation member.

A surgical method is provided for use with a teleoperated surgical system (surgical system), the method comprising: recording surgical instrument kinematic information indicative of surgical instrument motion produced within the surgical system during the occurrence of the surgical procedure; determining respective kinematic signatures associated with respective surgical instrument motions; producing an information structure in a computer readable storage device that associates respective kinematic signatures with respective control signals; comparing, during a performance of the surgical procedure surgical instrument kinematic information during the performance with at least one respective kinematic signature; launching, during a performance of the surgical procedure an associated respective control signal in response to a match between surgical instrument kinematics during the performance and a respective kinematic signature.

Surgical systems and methods are provided. The surgical systems include a manufacturer-sealed sterile surgical package containing a surgical instrument configured to be used in a surgical procedure, at least one data processor, and memory storing instructions configured to cause the at least one data processor to perform operations. The operations include catalogue components of the surgical instrument, determine disposal procedures for each of the components of the surgical instrument, and provide the disposal procedures at the end of the surgical procedure.

Systems and methods for medical imaging and spectroscopy analysis arc disclosed. Some embodiments relate to digital staining. Some embodiments relate to digital staining using hyperspectral or multispectral imaging. Some embodiments relate to digital staining using RGB imaging. Some embodiments relate to analysis of other types of medical imaging and spectroscopy. Some embodiments relate to platform for performing analysis of medical imaging and spectroscopy data. Some embodiments relate to approaches for analyzing digitally stained images for use in surgical procedures.

An interactive and dynamic surgical simulation system may be used in the context of a computer-implemented interactive surgical system. An operating-room-based surgical data system may aggregate surgical activity data that is indicative of a performance of a live surgical procedure. The surgical simulation device may receive the surgical activity data from the operating-room-based surgical data system. And the surgical simulation device may simulate a surgical task based on surgical activity data. The surgical activity data may be structured by a procedure plan data structure. The procedure plan data structure may be common to the operating-room-based surgical data system and the surgical simulation device. The procedure plan data structure may be configured to covey information indicative of equipment, technique, and surgical steps in a structured format such that the equipment, technique, and surgical steps of the live surgical procedure are reflected in the simulated surgical procedure.

Methods, apparatuses, and systems for performing robotic joint arthroscopic surgery are disclosed. The disclosed systems use a surgical robot to perform robotic joint arthroscopic surgery for soft tissue. The disclosed systems enable a surgeon or physician to perform a virtual surgical procedure in a virtual environment, storing robotic movements, workflow objects, user inputs, or a description of tools used. The surgical robot filters the stored data to determine a surgical workflow from the stored data. The surgical robot displays information describing a surgical step in the surgical workflow, enabling the surgeon or physician to optionally adjust the surgical workflow. The surgical robot stores the optional adjustments and performs the surgical procedure on a patient by executing surgical actions of the surgical workflow.