1385 results about "Surgical procedures" patented technology

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.

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.

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

The invention discloses a machine learning-based intra-operative bleeding risk prediction method and device for spinal surgery. The machine learning-based intraoperative bleeding risk prediction method for spinal surgery comprises the following steps: acquiring information of a patient to be predicted; obtaining a trained hemorrhage risk prediction model; and inputting the information of the patient to be predicted into the trained massive hemorrhage risk prediction model so as to obtain a prediction result. According to the method, the high-precision prediction model is trained through large-scale patient data (including basic information, operation parameters, blood indexes and the like), so that the accuracy and the stability of intraoperative SBL risk prediction are improved. And a Cell Saver use suggestion based on a risk threshold is provided, and blood resource allocation is optimized. Clinical decision-making efficiency is improved through an automatic tool, blood transfusion related complications (such as infection and immune response) are reduced, and patient prognosis is improved.

The invention discloses a self-adaptive sensing anti-shake regulation and control method and system for a spinal surgery auxiliary mechanical arm, and relates to the technical field of spinal surgery, and the method comprises the steps: collecting multi-dimensional data of a mechanical arm tail end actuator through a multi-dimensional sensor group, and transmitting the multi-dimensional data to an AeroStead space-level stability calculation platform; the platform carries out filtering processing on the data, and vibration of the mechanical arm and disturbance components caused by external interference are separated; constructing a spine mechanical arm rigid-flexible coupling dynamic disturbance observation and compensation model by using the disturbance component to observe disturbance and generate a compensation amount; calling a spinal operation area three-dimensional reconstruction and dynamic obstacle avoidance mixed density network model, and fusing different images to generate an operation area three-dimensional dynamic model and an obstacle avoidance adjustment signal; a mechanical arm motion control instruction is generated through a force sense position cooperation self-adaptive control algorithm; and the mechanical arm is driven to move for closed-loop regulation and control. According to the method, through fusion of multiple models and algorithms, the disturbance compensation precision, the operation area modeling accuracy and the control collaboration are improved, and the operation safety is guaranteed.

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 relates to the technical field of intelligent medical information, in particular to a urinary surgery risk AI intelligent assessment method and system. The method comprises the steps that intraoperative data in the urinary surgery operation process are collected in real time; inputting the intraoperative data into a risk feature fusion AI model, performing context association analysis of different stages of the operation, and fusing each intraoperative multi-source modal feature to generate a risk assessment comprehensive feature set; analyzing the risk assessment comprehensive feature set by using a risk assessment prediction AI model, dynamically adjusting the priority and prediction weight of each risk index in combination with a doctor judgment priority weight adjustment mechanism, and predicting to obtain an intra-operative real-time comprehensive risk score; and visually displaying the intraoperative real-time comprehensive risk score and the risk prompt information in a terminal in real time. According to the AI intelligent assessment method, the causal relationship between the risks is constructed by associating the data of each stage of the operation with doctor judgment, and the AI intelligent assessment method capable of dynamically predicting the key risks in the operation process is realized.

The invention relates to the technical field of artificial intelligence, and discloses a spinal surgery mechanical arm precise regulation and control system integrating deep learning and dynamic calibration, and the system comprises a digital twinborn body construction module which is used for constructing a dynamic spinal digital twinborn body of a target object; the motion path analysis module is used for generating a planned motion path of the mechanical arm; the coarse regulation and control module is used for calculating a translation vector and a rotation vector of the mechanical arm and executing coarse regulation and control of the mechanical arm when the path error is not smaller than a preset first threshold value; the fine regulation and control module is used for calculating the rigidity coefficient of the mechanical arm and executing fine regulation and control of the mechanical arm when the path error is smaller than a first threshold value and not smaller than a preset second threshold value; and the micron-order regulation and control module is used for calculating pulse voltage required by the micro-motion platform and executing micron-order regulation and control of the mechanical arm when the path error is smaller than a second threshold value and not smaller than a preset safety threshold value. The control precision and safety of the spine surgery mechanical arm can be improved.

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 present disclosure relates to surgical systems, devices and methods for planning and performing surgical procedures, including bone fracture repair. The systems and methods disclosed herein can be utilized to establish physical models of anatomical structures.

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.

The invention discloses a self-breaking outer drainage tube, and relates to the technical field of medical instruments, the self-breaking outer drainage tube comprises a tube body, and the tube body comprises a drainage part, a breaking part, a leading-out part and a puncture part; the drainage part and the fracture part are both made of degradable materials; the hole wall thickness of the circulation hole at the fracture part is smaller than the hole wall thickness of the circulation hole at the drainage part; during surgical operation, the degradable inner drainage part is placed in the pancreatic duct, the fracture part crosses the anastomotic stoma by 7-8 cm and crosses the biliary-intestinal anastomotic stoma, and the leading-out part walks in the enteric cavity to a proper position, penetrates out of the intestinal wall and is led out of the body through the abdominal wall. Cutting the puncture part to expose the outlet of the circulation hole, and discharging the body fluid through the circulation hole; after a certain period of time after the operation, the fracture part is automatically fractured under the action of pancreatic juice, the leading-out part is pulled out, the degradable drainage part continues to be degraded in the body and maintains the drainage function, and finally the drainage part is absorbed by the body or discharged out of the body without being taken out through the operation.

A method of performing an operation, e.g. a spinal operation, on a patient using a retractor comprising a pair of blade assemblies which are adapted to open about a set of axes that are not parallel to a third spatial axis, and further comprising a pair of arms, which are adapted to move the pair of blade assemblies apart from one another in the third spatial axis. In the method, the blade assemblies are closed to assume a low profile, inserted into a relatively small incision, and stretched apart from each other, thereby stretching the skin about the incision to form an aperture longer than the incision. The blade assemblies are then opened by rotating the blades about the set of axes, stretching the skin around the incision in a second direction that is substantially perpendicular to the first direction (i.e. the direction of the incision.)

The invention belongs to the technical field of medical robots and minimally invasive surgery, and provides a robot control system and method for blue laser vaporization surgery of prostatic hyperplasia. Mapping the nuclear magnetic image volume data to a deformation field under an ultrasonic acquisition coordinate system, and deforming the preoperative nuclear magnetic image to an intra-operative ultrasonic space by using the deformation field to complete image registration; fusing the registered image with a stereoscopic vision system; the spatial depth of the surface of the target tissue is obtained from the endoscopic image so as to supplement navigation information; according to the utility model, the prostate deformation and probe posture change adaptive capacity in an operation is improved, the real-time visual closed-loop regulation and control capacity is improved, and the characteristics of small light spots, shallow heat diffusion, excellent hemostasis and the like of blue laser are combined, so that the vaporization and hemostasis precision in a tiny blood vessel dense area is ensured, and the problems of large tissue trauma and the like are avoided.

A plasma radiofrequency surgical electrode, relating to the technical field of medical instruments. The plasma radiofrequency surgical electrode comprises a cable assembly, a proximal handle, a knife rod, and a distal knife head that are connected sequentially. A first working electrode, a second working electrode, and a bending member are provided in the distal knife head. The bending member and the knife rod form a return electrode. A plasma radiofrequency system, the first working electrode, and the return electrode form a first discharge circuit to achieve small-area high-intensity cutting operations. The plasma radiofrequency system, the second working electrode, and the return electrode form a second discharge circuit to achieve large-area cutting and hemostasis operations. By integrating multiple cutting functions along with the function of simultaneous suction and coagulation, the plasma radiofrequency surgical electrode significantly improves surgical efficiency, safety, and operational convenience, thereby providing a more advanced and reliable tool for surgical procedures.

A method of operating an orthopaedic surgical system may include displaying a unique identifier on a visual display of a first device positioned in an operating room, the unique identifier being associated with a digital medical record of a patient positioned in the operating room, capturing the unique identifier with a camera of a second device positioned in the operating room, establishing a unique electronic connection between the second device and the digital medical record of the patient based on the unique identifier, capturing one or more images of the patient with the camera of the second device, transferring the one or more images from the second device to the digital medical record of the patient using the unique electronic connection, and accessing the one or more images with the first device to guide performance of an orthopaedic surgical procedure on the patient.

Systems and methods for designing and implementing patient-specific surgical procedures and / or medical devices are disclosed. In some embodiments, a method includes receiving intra-operative data during a surgical procedure to install a patient-specific implant in a patient. The system can compare the intra-operative data to a pre-operative plan to determine whether the implant is positioned and located according to the pre-operative plan.

The invention relates to a valve used in medical procedures. More specifically the invention relates to an introducer sheath valve used in minimally invasive and conventional surgical procedures. The valve may accommodate a wide range of surgical implement diameters, shapes, and multiple implements without imposing the high frictional forces of known valves.

Systems and methods for automatically extracting one or more salient images from a surgical video stream are described. A plurality of records including annotated images from recorded surgical procedures are used as training data to generate an image extraction machine learning model. Features, extracted from the training data, are used as inputs to the image extraction machine learning model in a training phase, which outputs salient images. After training, features extracted from the surgical video stream are input into the trained image extraction machine learning model to output the one or more salient images from the surgical video stream.

Aspects include a surgical robot for use in a total hip arthroplasty (THA) procedure, and related methods. In some cases, the surgical robot includes: a robot arm for holding a surgical instrument; and a controller coupled with the robot arm, the controller programmed to: detect a position of the surgical instrument in at least one attraction volume corresponding with a planned trajectory of the surgical instrument for the THA procedure, the at least one attraction volume defined in part by a point and an axis extending from the point; and while the surgical instrument is in the at least one attraction volume during the THA procedure, provide assistance to movement of the surgical instrument in a direction toward the at least one attraction volume.

A sacroiliac (SI) joint implant assembly addresses SI joint dysfunction and degenerative sacroiliitis. The assembly includes a first implant body, a second implant body, and a piezoelectric layer positioned between them. The piezoelectric layer generates electrical charges when subjected to mechanical stress, stimulating bone growth and enhancing stability of the SI joint after surgery. The implant bodies may feature non-planar surfaces to distribute compressive and shear forces unevenly across the piezoelectric layer. The assembly can be secured using fasteners such as screws, pins, or brackets, and may include porous or fenestrated bodies made from materials like titanium or polymers. Some implant assemblies are designed for minimally invasive surgical procedures, with configurations that allow for precise placement using guide wires and imaging techniques. The assembly aims to stabilize the SI joint and promote bone fusion, leveraging the piezoelectric effect to improve the overall efficacy of the fusion procedure.

The invention belongs to the field of cardiac surgery, and particularly relates to a cardiac surgery preoperative pulmonary complication prediction method which comprises the following steps: data preprocessing including abnormal value processing, missing value processing, feature correlation analysis, data discretization and data standardization, abnormal values and irrelevant data in the case data set are filtered and removed, and interference of the abnormal values on follow-up model learning is avoided; according to the method, data quality and feature validity are guaranteed from the source through a hierarchical progressive data preprocessing process; noise interference to model learning is avoided by filtering abnormal values and irrelevant data; for missing values, differentiation processing is carried out according to the missing rate (features with the missing rate larger than 30% are removed, and features with the missing rate smaller than 30% are filled with median, regression prediction or mode according to variable types), compared with an existing model simple filling mode, data deviation is greatly reduced, and data integrity and reliability are improved.

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

A method for predicting a tool alignment, the method comprising: obtaining, by a computing system, a first point cloud representing one or more bones of a patient; applying, by the computing system, a point cloud neural network to generate a second point cloud based on the first point cloud, the second point cloud, comprising points indicating the tool alignment; and determining, by the computing system, the tool alignment based on the points indicating the tool alignment.

The present invention is an apparatus, device or tool for performing endoscopic (that is, minimally invasive) surgery. An exemplary embodiment of the invention includes a video endoscope whilst in another embodiment of the invention includes an endoscopic surgical tool which, when equipped with one of a suite of endoscopic surgical instruments, can be used by a surgeon to perform surgical procedures inside a body. Another embodiment of the present invention includes a suite of endoscopic surgical instruments designed to work co-operatively with the endoscopic surgical tool. In another embodiment of the present invention, a video-assisted endoscopic surgical tool system is provided. In one embodiment, the system includes the video-assisted endoscopic surgical tool and a suite of at least one endoscopic surgical instrument.

A method and system for protecting electrode arrays while implanted on a brain including a flexible electrode array including non-penetrating cortical surface microelectrodes, a ceramic layer covering the electrode array and a polymer layer adjacent the ceramic layer, wherein the ceramic layer and the polymer layer hermetically seal the electrode array. The ceramic layer can be configured to exhibit sufficient flexibility to allow the electrode array to be implanted using minimally invasive surgical techniques, while still hermetically sealing the electrode array from a biological environment.

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

Systems, methods and devices for surgical procedurelization via a modular energy system are disclosed herein. In various aspects, the systems, methods and devices include an energy module, a header module communicably coupled to the energy module, and a display screen capable of rendering a graphical user interface (GUI). The GUI may be configured to display a plurality of steps that correspond with actions performed by a user while operating the modular energy system. In some aspects, the steps displayed are steps of a predetermined procedural checklist corresponding with a mental model followed by the user while performing a surgical procedure. In some aspects, the steps displayed are steps of an output verification process.

A surgical system includes an ultrasound device and a surgical instrument. The ultrasound device includes a shaft having a body defining a longitudinal axis and including a lumen extending coaxially therethrough, and an ultrasound sensor assembly configured to enable ultrasound imaging of a field of view. The ultrasound sensor assembly is disposed at a distal end portion of the body of the shaft, offset relative to the longitudinal axis, and oriented such that the field of view is offset relative to the longitudinal axis. The surgical instrument is configured for removable insertion through the lumen of the body of the shaft and to extend distally from the distal end portion of the body of the shaft.