3388 results about "Surgical operation" patented technology

A modular surgical system for use in a surgical procedure is disclosed. The modular surgical system includes a control module including a power supply and surgical modules including a first surgical module and a second surgical module. The first surgical module is arranged in a stack configuration with the control module and the second surgical module. The power supply is configured to output power to the first surgical module and the second surgical module. A power backplane is configured to deliver the power to the first surgical module and the second surgical module through the first surgical module. A control circuit is configured to adaptively adjust power allocations to the first surgical module and the second surgical module.

Surgical systems and related computer-implemented methods are provided, including during performance of a surgical procedure on a patient, receiving, at a first surgical system, a first dataflow from a second surgical system, the first dataflow including first data regarding a measured patient parameter that the first surgical system is configured to use in performing a function during the performance of the surgical procedure. The computer-implemented methods including determining that a trigger event occurred during the performance of the surgical procedure such that a sum of a first bandwidth of the first dataflow and a second bandwidth of a second dataflow exceeds an available bandwidth, and in response to determining that the trigger event occurred, and during the performance of the surgical procedure, adjusting at least one of the first and second dataflows such that the sum of the first and second bandwidths does not exceed the available bandwidth.

The invention relates to the technical field of medical instruments, and discloses a laparoscope and digestive endoscope combined positioning measurement system and method.The method comprises the steps of positioning mark initialization, image feature analysis, instrument path planning, dynamic positioning calibration, operation integrity evaluation and the like. Spatial matching is realized by setting multiple types of positioning marks and utilizing optical reflection signals, noise reduction and feature extraction are performed on endoscope imaging data to generate a measurement area boundary, an operation path is planned in combination with anatomical path information, the tail end position of an instrument is calibrated in real time, and operation integrity is evaluated. The system comprises a positioning module, an analysis module, a correction module and an integration module which are respectively used for realizing the functions of positioning mark setting, image processing and path generation, offset correction and operation evaluation. According to the system, the operation positioning precision and the operation safety are improved, intellectualization and precision of minimally invasive surgery are achieved, and the system is suitable for minimally invasive treatment of digestive system diseases.

The invention relates to the technical field of surgical intervention, in particular to a catheter system and method for neurosurgery surgical intervention, in the invention, through accurate path prediction, real-time monitoring and dynamic adjustment, the accuracy of catheter operation is remarkably improved, and through analysis of historical surgical data, information such as path, speed and angle in the surgical process is accurately extracted, so that the accuracy of catheter operation is improved. A more accurate neural structure position can be provided by timely adjusting the movement direction of the catheter, spatial positioning and form calculation, the spatial deviation between the current position of the catheter and a target neural structure is calculated in real time through a support vector machine algorithm, a path is adjusted according to a set threshold value, historical operation data is learned through a convolutional neural network, and the operation accuracy is improved. The catheter operation strategy is optimized, operation data and deviation are analyzed in real time, the operation precision is automatically adjusted, catheter operation in the operation process is more accurate, patient wounds are smaller, the recovery time is shorter, the treatment effect is better, and the recovery speed of patients is increased.

Provided herein are several embodiments for an anchor device for insertion into a bone, all of which include a post suitable for implantation into a bone, and a cord housing coupled to the post. The cord housing has a lower housing with a cradle for receiving therein at least one cord, and an upper housing with a clamp for placement over the at least one cord inserted into the cradle. The joining of the upper housing to the lower housing forms a cord channel by the cradle and the clamp, to encase the at least one cord placed into the cradle. The cord housing also has means for fastening the upper housing to the lower housing and securing the at least one cord within the cord channel.

The invention provides a real-time three-dimensional imaging system in a thoracic surgery, and relates to the field of thoracic surgery auxiliary equipment, and the system comprises a multi-modal image collection module which is used for collecting multi-source data of tissues and organs in a thoracic cavity; the data core processor is used for processing and fusing the multi-source data collected by the multi-mode image acquisition module; the three-dimensional reconstruction module is used for generating a dynamically updated submillimeter-level precision three-dimensional model according to the processed and fused multi-source data and marking a dangerous structure and a safety boundary; and the augmented reality navigation module is used for superposing the three-dimensional model on an operation visual field through a holographic head-mounted display, and realizing real-time three-dimensional visual navigation in combination with instrument tracking and a multi-stage early warning mechanism. According to the invention, radiation-free and high-precision real-time three-dimensional visual navigation can be provided, and the precision and safety in the thoracic surgery can be ensured.

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.

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 motion error dynamic compensation method applied to a surgical mechanical arm, and belongs to the technical field of surgical mechanical arm control and medical automation. The method comprises the following steps: firstly, acquiring position data of each joint encoder of the surgical mechanical arm, a motor current signal, a position feedback signal of an end effector, load change information and accumulative operation duration in real time; processing the data, fusing the data through adaptive Kalman filtering to estimate a joint dynamic error, inputting a load change rate and an accumulated operation time length into a pre-training error prediction model to output a compensation basic quantity, and fusing the load change rate and the accumulated operation time length to generate a real-time error compensation quantity; and then the compensation amount is superposed to a joint original control instruction to correct motion parameters, and finally the compensated tail end position deviation is analyzed, and a precision identifier or an adjustment prompt is generated and fed back to a control system. According to the method, real-time error compensation is achieved, the compensation precision and working condition adaptability are improved, it is guaranteed that the mechanical arm is stably positioned, and the surgical operation risk is reduced.

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.

A targeting device (9) for the targeted guidance of a hollow needle (17) with an endoscopic-surgical operation. The targeting device (9) is fastened or can be fastened to an endoscopy unit (1) which extends essentially in an endoscopy longitudinal axis (L) and defines a viewing region (11). The targeting device (9) defines a plurality of hollow needle guides (21). Each of the hollow needle guides (21) each extends towards the viewing region (11) along a different polar angle (θ) with respect to the endoscope longitudinal axis (L). Each of the hollow needle guides (21) is open towards one of its two azimuthal sides over its entire length.

The invention provides a bending-adjustable microcatheter with multi-section bending control, and belongs to the technical field of bending-adjustable microcatheters.The bending-adjustable microcatheter with the multi-section bending control comprises a catheter body, a driving assembly and a control assembly, and the catheter body is composed of seven flexible pipe sections which are connected with one another; the driving assembly comprises seven independent shape memory alloy drivers, and each shape memory alloy driver is connected with the outer side of the corresponding flexible pipe section. The control assembly comprises a power supply, a microprocessor and a temperature sensor, the power supply supplies power to the shape memory alloy drivers, the microprocessor controls the current of each shape memory alloy driver, and the temperature sensor monitors the temperature of each flexible pipe section in real time; the problems that the bendability of a traditional catheter is usually limited, the catheter can only be operated within a fixed angle range, the bending form of the catheter is fixed, and various surgical operation requirements cannot be perfectly met can be solved.

The invention discloses an augmented reality intelligent navigation and operation quantitative evaluation method and system in an operating room, and the method comprises the steps: collecting multispectral image data and depth point cloud data of an operation region in the operating room in real time, and generating a multidimensional perception data set; performing feature extraction and spatial registration on the multi-dimensional perception data set, and decomposing the dynamic three-dimensional augmented reality model into an anatomical structure feature layer and an instrument interaction feature layer; performing dynamic matching and real-time rendering on the anatomical structure feature layer and the instrument interaction feature layer based on a digital twinning technology to generate augmented reality navigation information and an operation guidance scheme; and performing multi-dimensional quantitative analysis on the surgical operation process according to the augmented reality navigation information and the operation guidance scheme, and outputting a quantitative evaluation result. By utilizing the embodiment of the invention, augmented reality navigation guidance which is synchronous with a real operation scene in real time can be provided, meanwhile, accurate quantitative evaluation is carried out on the operation operation, and the accuracy, the safety and the trainability of the operation are improved.

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

The invention discloses a tumor image segmentation method and system of a multi-scale feature fusion network based on boundary enhancement, and relates to the technical field of image segmentation, and the method comprises the steps: obtaining a to-be-segmented tumor image; constructing a tumor image segmentation model based on a pyramid visual converter PVTv2 backbone network; training the tumor image segmentation model through the to-be-segmented tumor image and the known tumor image to obtain an optimal tumor image segmentation model; and acquiring a real-time to-be-segmented tumor image and inputting the real-time to-be-segmented tumor image into the optimal tumor image segmentation model to obtain a tumor image segmentation result. Aiming at the endoscope image segmentation of the kidney tumor, the kidney tumor in the endoscope image is efficiently, stably and automatically segmented through the boundary-enhanced multi-scale feature fusion network, clinical doctors are helped to provide accurate tumor area positioning in endoscopy and surgical operations, and compared with the most advanced method, the method has the advantages that the accuracy is high, and the efficiency is high. According to the method, better segmentation capability and stronger generalization capability are obtained.

The utility model relates to a cervical conization knife, and belongs to the field of gynecological operation instruments. Comprising a knife handle and a detachable blade. And the front end 2 of the knife handle tilts and forms an angle with the longitudinal axis of the handheld end 1 of the knife handle. According to different angles between the longitudinal axis of the front end 2 of the scalpel handle and the longitudinal axis of the handheld end 1 of the scalpel handle, the scalpel is divided into three models of A, B and C which are respectively at angles of 27 degrees, 31 degrees and 37 degrees. The cross section of the blade body is arc-shaped, the radian is consistent with that of the cervix uteri, the arc length is 1 / 8 of the circumference of the cervix uteri, namely 1cm, the two sides of the blade are both blade faces 3, the front ends of the blade faces 3 converge to enable the blade tip 4 to be an arc-shaped triangle, the rear end 5 of the blade is a parallel blunt face, and the longitudinal axis of the blade is provided with scales 6. Compared with a traditional cold knife, the novel cervical cold knife can be applied to gynecology cervical cold knife conization, surgical operation is facilitated, a cut cone can be regular, cervical injury is reduced, and the shape and the function of the cervix are reserved to the maximum extent.

The invention relates to a robot-assisted surgery system, in particular to a force feedback monitoring method, medium and system for multi-sensor data fusion based on deep learning, and the method comprises the following steps: obtaining the magnitude and direction of the force applied by a tool, and the acceleration change during vibration and movement; preprocessing the data and performing feature extraction; inputting the extracted spatial features into a deep learning model for time sequence processing; judging a current stage state according to a result obtained by processing the deep learning model, and adjusting a transfer correction coefficient; and carrying out force feedback on the corrected force feedback result. Compared with the prior art, the problem that in the prior art, the touch sense of a doctor cannot be simulated during fine operation, so that surgical operation only depends on experience and visual speculation of the doctor is solved. According to the scheme, in combination with multi-sensor data, micro force changes in an operation are processed and analyzed in real time through a deep learning algorithm, and therefore the accuracy and safety of the system are improved.

Adapters for surgical drilling systems, and methods of use, are provided for performing surgical procedures, such as surgical drilling into bony structures, while guided by a conductivity sensing system. The adapters may be configured to be coupled to a surgical drilling tool such as a conventional surgical drill and a drill bit having conductivity sensing capabilities, or a surgical hand tool having conductivity sensing capabilities. The adapters further include a controller configured to receive one or more signal indicative of measured electrical conductivity and / or penetration depth measurement, detect a condition associated with a change of measured electrical conductivity based on the signal, and arrest advancement of the surgical drilling tool responsive to detection of the condition.

Systems and methods for updating a predicted outcome during a surgical procedure are disclosed. The system may include at least one processor configured to perform operations that include receiving, from at least one image sensor, image data associated with a first event and image data associated with a second event during a surgical procedure. Operations may include determining, based on received image data associated with the first event, a predicted outcome associated with the surgical procedure. Operations may include determining, based on the received image data associated with the second event, a change in the predicted outcome, causing the predicted outcome to drop below a threshold. Operations may include accessing a data structure of image-related data based on prior surgical procedures, identifying, based on the data structure, a recommended remedial action, and outputting the recommended remedial action.

The invention relates to the technical field of surgical action trajectory analysis and optimization guidance systems, in particular to a learner action trajectory analysis and optimization guidance system in surgical operation teaching, which simulates surgical actions through a hand-eye cooperative robot, captures the spatial positions of a learner and an instrument through an optical tracker, detects contact pressure through a spatial force sensor, and provides a guidance system for the learner action trajectory analysis and optimization. The data processing module generates action track data; the track analysis module compares a standard track and calculates a deviation index; the optimization guidance module generates suggestions accordingly, and the feedback execution module controls the robot to execute feedback actions to realize action optimization guidance; the system integrates a robot, a sensor, data processing and feedback control, the operation teaching effect is improved, the motion capture precision is improved by about 50%, and micron-sized motion deviation can be captured.

An orthopedic surgical robot system (100) and an orthopedic surgical robot operating method. The system comprises: a preoperative planning module (101) for acquiring image data of a surgical site, reconstructing a three-dimensional model of the surgical site on the basis of the image data, and determining a preoperative planning result on the basis of the three-dimensional model; a control module (102) for acquiring the preoperative planning result, and on the basis of the preoperative planning result, controlling a navigator (103) and a robotic arm (104) to perform surgical registration, alignment, and surgical operations; and an evaluation module (105) for performing post-operative evaluation on the surgical site after the surgical operation. The orthopedic surgical robot system (100) can improve the degree of integration of an orthopedic surgical robot, and is applied to different orthopedic surgical scenes.

The invention discloses a lens holding arm control method based on interactive surgical instrument segmentation, and belongs to the technical field of surgical robot control. Comprising the following steps: carrying out interactive segmentation on the tip of a surgical instrument in a first-frame image of a video returned by an endoscope at the tail end of an endoscope holding arm; automatically acquiring a tip mask of a surgical instrument in a video subsequent frame image through a tracking network model, and calculating a center coordinate of the tip mask; calculating the center coordinate of the ROI region of the image and the error between the center coordinate and the expected position coordinate by combining the weight of the user-defined surgical instrument; a joint space angle control quantity is obtained through a multi-task whole-body controller with priorities to carry out motion control on a lens holding arm, and errors of high-level tasks and low-level tasks are converged to be zero along with time. According to the method, any type and number of surgical instruments can be quickly and stably tracked without an additional model training process. The endoscope holding arm automatically adjusts the pose of the endoscope according to the central position of the tip of the surgical instrument so as to optimize the surgical field, and the man-machine cooperation surgical operation efficiency is improved.

The invention relates to the technical field of medical report generation, in particular to an intelligent anesthesia record sheet automatic generation system. According to the system, patient information is automatically recognized through the OCR unit, and real-time collection and structured storage of physical sign data, medication records and surgical operation are achieved in combination with a medical equipment interface and a voice recognition technology; time sequence data analysis and multi-source data fusion modeling are adopted to construct a medical event causal relationship graph so as to improve the accuracy of anomaly recognition and patient sign evaluation; based on a time axis construction unit and a structured template engine, an anesthesia record list is automatically analyzed and filled, and the manual input workload is greatly reduced; and finally, in combination with block chain evidence storage and a multi-level encryption technology, the security and non-tampering property of the anesthesia record list are ensured, the reliability of medical data management is improved, the recording, monitoring and storage efficiency of the anesthesia process is comprehensively optimized, and the medical quality and the patient safety are improved.

The invention provides a liver blood flow and anesthesia depth combined monitoring system in a liver operation. The liver blood flow and anesthesia depth combined monitoring system comprises seven modules including a multi-source data collector, a signal preprocessor, a physiological coupling model calculator, an operation recognizer, a brain-liver information flow analyzer, a risk prediction early warning device and a clinical decision assist device. According to the system, liver blood flow parameters and anesthesia depth parameters are collected and analyzed in real time, a dynamic coupling relation model between the liver blood flow parameters and the anesthesia depth parameters is established, and in combination with automatic recognition of surgical operation and quantitative analysis of brain-liver information flow, early prediction and early warning of surgical risks are achieved, and individualized clinical decision support is provided.

The invention provides a real-time operation remote video consultation system and method based on virtual reality, and the system comprises a driving data collection module which collects multi-modal data; the data processing module is used for carrying out fusion processing on data from different acquisition sources; the virtual image driving module is used for reconstructing a virtual scene of an operation site and performing three-dimensional modeling and rendering on an image acquired by the high-definition camera and an internal structure image acquired by the medical imaging equipment; the template matching module is used for collecting and sorting standard action templates of common surgical operations and matching the standard action templates; the data collaboration module is fused with the virtual scene to display the medical data of the patient; and the 5G robot assistance module remotely controls the robot to execute an action corresponding to the virtual reality scene through 5G. According to the invention, audio and scene fusion is realized, scene fidelity is improved, and consultation immersion is enhanced. Interaction between experts and virtual scenes in consultation can be achieved, consultation efficiency and sense of participation are improved, doctors are assisted in standard operation, and surgical risks are reduced.

A system and method for planning and simulating a surgical operation to create a patient-specific spinal implant are disclosed. The system comprises a remote server configured to receive patient-specific medical image data and generate a 3D mesh model of the patient's spine using algorithms that separate vertebral bodies, remove artifacts, and smooth surfaces. A doctor's computer receives the 3D mesh model and allows real-time manipulation of intervertebral spaces to achieve a desired spinal curvature. The server generates a spinal implant design with surface-mapped endplates matching the patient's vertebral anatomy, which is transmitted to a 3D printer for manufacturing. The method includes steps of receiving image data, generating and updating the 3D mesh model based on doctor input, generating the final implant design, and transmitting it for production. The invention enables the creation of patient-specific spinal implants with improved conformity and surgical outcomes.

The invention discloses an operation index determination method and device for an endoscopic surgery, equipment and a storage medium, and can be applied to the technical field of surgical operation data processing. The method comprises the following steps: firstly, acquiring a surgical operation data set of a target operation object for an endoscopic surgery; the surgical operation data set comprises a plurality of pieces of surgical operation data sorted according to a time sequence. Each piece of surgical operation data comprises five-dimensional data, namely endoscope action data, endoscope type data, instrument action data, instrument type data and surgical object data. And constructing a hidden Markov model by using the surgical operation data set. In the hidden Markov model, the surgical operation described by the surgical operation data is the observed quantity, and the surgical state is the state quantity, and based on the hidden Markov model, the statistical principle is utilized to carry out quantitative evaluation on the surgical operation indexes, so that the accurate evaluation of the surgical operation when a doctor carries out the endoscopic surgery is realized, and the reference effectiveness of the operation indexes is improved.

A device to process data associated with a surgical event of a surgery may include a processor. The processor may be configured to receive multiple data streams during the surgical event. The processor may be configured to select a primary data stream based on a surgical data interface via which the primary data stream is received. The processor may be configured to select a secondary data stream based on a surgical data interface via which the second data stream is received. The processor may be configured to identify the surgical data interfaces. The processor may be configured to generate situational data associated with the primary data stream based on the secondary data stream. The situational data may indicate a medical decision-making factor of the surgical event. The primary data stream and the situational data may be sent during the surgical event.

The invention relates to a bioelectronic surgical suture for suture tension monitoring, the surgical suture comprises a cannula and a conductive material, the cannula is a hollow capillary tube, and the conductive material is arranged in the cannula through perfusion and is subjected to first laser scanning treatment after perfusion; a micro-nano structure is manufactured on the outer wall of the sleeve through second laser scanning. According to the principle of friction nanometer power generation, the tension of the surgical suture causes the change of the contact area between the suture and tissue and the change of an output electric signal in the collection process, the tension of the surgical suture can be reversely deduced, and the purpose of monitoring the surgical suture tension is achieved. The operation line is a self-powered sensor, and an external power supply is not needed. The operation line can provide different quantitative feedbacks according to different suturing modes and suturing parts, and is combined with clinical suturing experience of doctors to assist in establishing a tension quantitative model, so that the doctors are helped to optimize operation procedures, postoperative complications are reduced, and wound healing is promoted.