670 results about "Neurosurgery" patented technology

The invention relates to the field of medical health management, in particular to a neurosurgery postoperative care management system and method. The method specifically comprises the steps that physiological index data of a patient is monitored and collected regularly, and a comprehensive index is calculated based on the physiological index data; based on the comprehensive index, calculating a current complication risk and a future complication risk by adopting a dynamic trend risk assessment and prediction algorithm to obtain a current complication risk value and a future complication risk value; and calculating a personalized nursing index based on the current complication risk value and the future complication risk value, judging the nursing priority of the patient according to the personalized nursing index, and adjusting the nursing scheme according to the nursing priority. The problems that a traditional postoperative nursing method lacks real-time dynamic evaluation, lacks comprehensive evaluation on the overall physiological state of a patient, is low in nursing efficiency and cannot meet the nursing requirements of part of patients in time are solved.

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.

The invention relates to the technical field of medical image processing, in particular to a neurosurgery image diagnosis method and system based on image processing, and the method comprises the following steps: obtaining gray matter edge nodes of a triaxial section, constructing a symmetric path unit, collecting an edge direction vector, and generating a direction trajectory diagram; and extracting continuous slices, constructing a rotation track sequence, identifying an abnormal region, filling gaps, combining path voxels, and dividing spatial levels to generate an image structure chart. According to the method, the grey matter edge nodes in the three-axis tangent plane are obtained, and the node paths with the symmetrical characteristics are screened out according to the space projection trend, so that the continuous region of the structure can be accurately recognized, the direction vectors in the continuous slices are extracted, the direction mutation region in the track is recognized, and the jump and fracture performance of the structure can be timely captured; and the abnormal region is accurately labeled, so that higher-dimensional expression and finer-grained recognition of the neural structure are realized, and spatial modeling and visual analysis of complex neuropathy are effectively supported.

The invention provides a neurosurgery tumor patient personalized nursing intervention method based on big data. The neurosurgery tumor patient personalized nursing intervention method comprises the steps that physiological parameters, tumor characteristic data, behavior data and environment data of a patient are collected through a multi-mode sensor and an electronic medical record system; preprocessing the data to generate a standardized data set; extracting dynamic time sequence features and spatial correlation features based on a multi-modal fusion feature extraction algorithm; calculating an intensity parameter, a frequency parameter and a priority parameter of nursing intervention through a personalized intervention parameter generation algorithm according to the features; generating a personalized nursing intervention scheme in combination with the nursing rule base; a dynamic adjustment scheme is fed back through real-time data, and intervention parameters are corrected through a feedback compensation mechanism; and outputting the corrected intervention scheme to the nursing terminal equipment for execution. Accurate personalized nursing intervention can be achieved, the nursing scheme is dynamically adjusted, and the nursing effect and rehabilitation quality of neurosurgical tumor patients are improved.

The invention discloses a neurosurgery vascular nursing monitoring system based on medical information processing. The neurosurgery vascular nursing monitoring system comprises a medical information acquisition module, a medical data optimization module, a neurosurgery vascular nursing evaluation model establishment module and a neurosurgery vascular nursing monitoring module. The invention belongs to the field of medical information processing, and particularly relates to a neurosurgical blood vessel nursing monitoring system based on medical information processing, which eliminates false anomalies through abnormal path length scoring, increases sensitivity to mild abnormal and serious abnormal nursing states based on a category weighted marginal contribution mechanism, and improves the accuracy of medical information processing. Historical medical care data are optimized through anomaly detection, screening and feature selection, and the care monitoring effect is improved. On the basis of efficient feature extraction of space-time dependence, the space interaction relation between dynamic physiological signals is captured, meanwhile, short-term fluctuation and long-term trend of the physiological signals are captured, dynamic attention weights are introduced according to the relation difference between the physiological signals, and then the nursing monitoring effect is improved.

A neurosurgery system for probing brain tissue of a patient for tumorous tissue. The system including a suction tool, an excitation source, an optical instrument, and a controller. The suction tool including a suction cannula defining a lumen, an optical fiber configured to transmit fluorescence emitted by the brain tissue; and an indicator configured to selectively emit visible light. An excitation source is configured to emit an excitation light having a wavelength to induce the fluorescence in the tumorous tissue. The optical instrument is coupled to the optical fiber. The optical instrument configured to convert the fluorescence emitted by the brain tissue and transmitted by the optical and configured to determine that the brain tissue is tumorous based on the electrical signal and activate the indicator based on the determination.

The invention relates to an intelligent neural navigation system for neurosurgery and a use method thereof.The intelligent neural navigation system comprises an image collecting and processing unit, an intelligent planning unit, a positioning and tracking unit, a visual interaction unit and a data management and updating unit. The optimal operation scheme is selected through operation simulation operation, so that a doctor is helped to master the condition of a patient more clearly, personalized adjustment can be carried out in real time, the operation scheme better fits the actual condition of the patient and the operation habit of the doctor, and the success rate and the quality of an operation are improved. Meanwhile, an optical positioning sensor and an electromagnetic positioning sensor are integrated, accurate position information of the surgical instrument and the area, needing to be treated, of the patient is obtained in real time, operation of the surgical instrument is accurately guided, then it is ensured that the surgical instrument is accurately matched with the preoperative planned path, and mistaken damage to surrounding normal tissue in the surgical process is reduced; and the accuracy and the safety of the operation are improved.

The invention relates to the technical field of neurosurgical intelligent operations, and discloses a neuroendoscopic surgery intelligent puncture positioning system based on image navigation, and the system comprises a preoperative modeling module which constructs a preoperative tissue model and a corresponding elastic tensor field based on a three-dimensional medical image of a patient; the image fusion module is used for receiving the data of the preoperative modeling module, collecting intraoperative endoscopic images, predicting the tensor disturbance of tissues through a deep learning model, and feeding back the updated tensor disturbance to the tensor updating module; and the tensor updating module is in two-way communication with the image fusion module and is used for superposing tensor disturbance obtained by processing the intraoperative image with the preoperative tensor. Through fusion of an image navigation technology and preoperative modeling, a three-dimensional positioning frame based on neuroendoscopy operation requirements is constructed, intelligent planning and real-time correction of a puncture path are realized, important brain regions and vascular structures are effectively avoided, intra-operative risks are reduced, and positioning precision and safety are improved.

The invention relates to the technical field of stereotactic surgery, and discloses a neurosurgery stereotactic surgery positioning system based on multi-modal image fusion, which comprises a multi-modal image acquisition module, an intelligent registration fusion module, a three-dimensional modeling module, a surgery navigation engine, an augmented reality interface and a dynamic calibration module, a cross-modal elastic registration module is arranged, when multi-modal image fusion is carried out, the spatial matching degree of a functional image and a structural image is detected in real time through a nonlinear deformation compensation algorithm, and when registration deviation exists between white matter fiber bundles and tumor boundaries, an elastic deformation compensation field is dynamically generated by a system, so that the positioning accuracy of a neural functional area is improved; and by arranging the dynamic drift correction module, the brain tissue displacement change is perceived in real time based on laser surface scanning during deep target navigation, precise correction of the pose of the surgical instrument is realized, and the positioning reliability of the deep target is ensured.

The invention relates to the technical field of medical instruments, in particular to an intelligent cerebrospinal fluid drainage monitoring system and method. The system comprises a drainage catheter, a drainage bag and a monitoring terminal, a high-precision pressure sensor, an ultrasonic flow sensor, a data acquisition and transmission module and an intelligent monitoring decision module are integrated, and corresponding pressure analog signals are acquired, calibrated and output in real time through the high-precision pressure sensor; a flow analog signal corresponding to compensation output is collected in real time through an ultrasonic flow sensor; synchronously acquiring the pressure analog signal and the flow analog signal through an ADC (Analog to Digital Converter) through a data acquisition and transmission module to generate pressure data and flow data, and transmitting the pressure data and the flow data to a monitoring terminal; and the monitoring terminal calculates the average sliding pressure and the drainage efficiency and decides to generate a multi-stage alarm signal corresponding to cerebrospinal fluid drainage. Accurate data support can be provided for neurosurgery cerebrospinal fluid drainage assistance by means of a high-precision sensor and intelligent monitoring processing.

The invention belongs to the technical field of medical care, and particularly relates to a neurosurgery nursing evaluation method based on clinical early warning. The method comprises the following steps: acquiring historical vital sign data of a monitored patient, detecting abnormal data points by adopting an isolated forest algorithm, smoothing time sequence data through local weighted regression, and eliminating noise data; filling data missing values by using an interpolation method; segmenting the time sequence data by using a sliding window method, and extracting trend and fluctuation feature data; aiming at each type of vital sign data, respectively constructing a time fluctuation curve based on fluctuation characteristic data, and calculating a fluctuation index of the time fluctuation curve before a critical point by taking a postoperative stationary phase as the critical point; and on the basis of the fluctuation index, comparison with the threshold value output by the machine learning model is carried out, abnormal signal identification is carried out, and the clinical early warning accuracy is remarkably improved.

The invention provides a ventricular drainage tube clamping device for the neurosurgery department, and belongs to the field of medical instruments. Comprising three elastic telescopic adsorption mechanisms and three pressing type exhaust mechanisms, the second hollow shell is fixedly installed at the end of the upper hollow rod, the interior of the second hollow shell is in a hollow state, and the second hollow shell is communicated with the internal structure of the upper hollow rod; and the piston plate is placed in the second hollow shell and enables gas in the upper hollow rod to be pumped out in the moving process. The outer wall of the soft drainage tube can be fixed in an adsorption mode through the suction force of gas, the working stability of the drainage tube during working can be effectively guaranteed through adsorption type fixing, in addition, the drainage tube can expand outwards at the adsorption fixing part through the elastic acting force of the spring, and therefore the drainage tube can be fixed to the outer wall of the drainage tube. Therefore, normal drainage efficiency of the inner diameter of the drainage tube is ensured.

The invention relates to the technical field of health risk assessment, in particular to a neurosurgery risk prediction method and system based on big data analysis, and the method comprises the steps: obtaining the neural signal intensity of a brain region in preoperative functional image data of a patient, analyzing the balance degree of neural signal transmission, and analyzing the balance of oxygen metabolism distribution according to the nerve conduction rate. And preoperative nerve state information is formed. According to the method, by accurately extracting the preoperative neural activity signals and analyzing the signal transmission delay, the fluctuation amplitude and the oxygen metabolism balance, the accuracy of individual neural function state evaluation is improved. In the postoperative recovery stage, the abnormal region is dynamically recognized in combination with the neural signal change trend, and the metabolism matching capacity is evaluated, so that the recovery mode is more refined. Neural network connection adjustment capability analysis enhances signal transmission stability evaluation, and abnormal region identification accuracy is improved by combining time deviation and oxygen metabolism recovery consistency.

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 wound cleaning device comprises a liquid outlet assembly, an operation table assembly is arranged on the front side of the liquid outlet assembly, a limiting assembly is arranged at the inner end of the operation table assembly, a waste liquid discharging assembly is arranged on the lower side of the limiting assembly, and the liquid outlet assembly comprises a first supporting frame; a liquid storage inner tank is fixedly connected to the upper end of the first supporting frame, a liquid outlet pipeline is fixedly connected to the lower end of the liquid storage inner tank of the liquid outlet assembly, medical staff guide a patient with four limbs injured to slowly stretch the limb of the affected side into a space defined by a transparent cover plate, and the limb of the affected side is placed in a bottom transverse strip supporting area defined by transverse limiting strips; meanwhile, the wound position is adjusted, operation is convenient, a medical worker operates a penetrating strip opening in a bottom transverse strip far away from the wound to penetrate through a flexible bandage strip, the flexible bandage strip is attached to a proper position through a male side hook-and-loop fastener and a female side hook-and-loop fastener according to the actual limb width, stable limiting is achieved, the patient is prevented from moving due to flushing pain, and the flushing effect stability is improved.

The invention relates to a composite bone repair material, a preparation method and application, the preparation method comprises the following steps: immersing silkworm cocoons in a soap salt solution for degumming, drying to prepare degummed silk, dissolving the degummed silk in a lithium bromide solution, dialyzing for desalting, and concentrating to obtain a regenerated silk protein solution; mixing the regenerated silk fibroin solution with a gelatin solution to obtain a gel solution; mechanically shaking the gel solution, so that the gel solution is uniformly mixed, uniformly distributed bubbles are formed in the gel solution, and a silk protein / gelatin gel block is obtained; soaking and cleaning the silk protein / gelatin gel block in an ammonium sulfate solution to obtain silk protein / gelatin cross-linked gel; and freeze-drying the fibroin / gelatin cross-linked gel to obtain the fibroin / gelatin composite material. The composite bone repair material has the advantages that the composite bone repair material has a bionic porous structure, has excellent mechanical properties and also has good biocompatibility and osteogenic activity. The material can be applied to filling and regeneration repair of skull defects of the orthopedics department, the oral cavity, the plastic surgery (maxillofacial) and the neurosurgery department, and has high industrial production and clinical application prospects.

The invention relates to the technical field of auxiliary walking devices, and particularly discloses an auxiliary walking nursing device for neurosurgical nursing, which is characterized in that an inertial measurement unit (IMU) and a pressure sensor are used for respectively acquiring three-dimensional motion data and standing pressure data of a patient object; a neural network model based on deep learning is introduced to carry out data analysis on the three-dimensional motion data and the standing pressure data of the patient object, so that the time sequence correlation change characteristics of the motion state of the patient object and the dynamic change trend of the standing pressure are mined, and then fusion analysis is carried out on the time sequence correlation change characteristics and the dynamic change trend; therefore, intelligent identification of abnormal actions of a patient object is realized, and an early warning prompt is automatically generated and a built-in safety mechanism is started to lock a position when the abnormal actions occur. In this way, active safety protection of the patient object can be achieved, the safety and intelligent level of the auxiliary walking nursing device are effectively improved, and then the safety and efficiency of rehabilitation training are improved.

The invention relates to the technical field of medical informatics, in particular to a neurosurgery patient comprehensive diagnosis and treatment system which comprises a multi-mode state monitoring module, a dynamic trend evaluation module, a consciousness function analysis module, an optimization nursing intervention module and a nursing risk early warning management module. According to the method, key features are extracted in combination with image information, health indexes and behavior changes, serialized monitoring of intracranial lesions, physiological fluctuations and behavior modes is achieved, vital signs and behavior change trends are fused, continuity and objectivity of patient state evaluation are improved, the accuracy of risk identification is enhanced, and the risk identification efficiency is improved. According to the method, a health state change rate evaluation mode is introduced, the prediction capability of function recovery potential is improved, an unstable region is dynamically identified and potential risks are pre-judged in combination with an original state trajectory and intervention response difference, continuous optimization of an intervention path and active avoidance of nursing risks are realized, and the collaboration and continuity of comprehensive management are enhanced.

The invention discloses a tracheal catheter capable of preventing flushing fluid from entering an esophagus. The tracheal catheter is suitable for operations of oral cavities, nasal cavities, neurosurgical skull bases and the like. Comprising a tracheal catheter module and a partition cuff module, the tracheal catheter module comprises a tracheal catheter body, a connector, an air bag and a first inflation tube. The connector, the air bag and the first inflation tube are arranged on the tracheal catheter body. The partition cuff module comprises a cuff, a diaphragm layer, a second inflation tube and a suction tube, the cuff is arranged at the tongue root position of the tracheal catheter body, and a diaphragm layer hole with an overflowing hole is formed in the upper side face of the cuff; a second inflating tube and a suction tube are arranged on the tracheal catheter body; when the cuff is inflated and expanded, the internal air pressure of the cuff is low pressure, the middle of the cuff is sunken downwards, and the periphery of the cuff is tilted and clings to the mucosa of the throat of a patient. The tracheal catheter effectively blocks the connection between the oral cavity and the esophagus, prevents flushing fluid from entering the esophagus and the stomach, and has important significance for improving the safety and success rate of oral cavity and neurosurgery skull base operations.

The utility model provides a neurosurgery catheter device which comprises a fixing block, a catheter is movably installed on the fixing block, two elastic bandages are symmetrically and rotationally installed on the fixing block and matched with each other, adhesive tapes are arranged on the elastic bandages, a fixing mechanism is arranged on the fixing block, and the fixing mechanism is connected with the catheter. The fixing mechanism comprises a groove and two arc-shaped clamping blocks, the groove is formed in the top of the fixing block, and the two arc-shaped clamping blocks are symmetrically installed in the groove in a sliding mode and evenly make contact with the guide pipe. Through cooperation of the fixing block, the elastic bandage and the adhesive tape, the fixing block can be conveniently fixed to the body of a patient, so that subsequent fixation of the catheter is facilitated, through the arranged fixing mechanism, the catheter is fixed, operation is easy, fixation is firm, and normal treatment of the patient is guaranteed.

The invention belongs to the technical field of medical hemostatic materials, and particularly relates to an injectable fluid gelatin hemostatic material and a preparation method thereof. The injectable fluid gelatin hemostatic material is prepared from gelatin, a cross-linking agent, polyol, a radiation stabilizer and an emulsifier. The injectable fluid gelatin hemostatic material not only has good biocompatibility, absorbability and rapid hemostasis capability, but also can be directly injected to a bleeding part to adapt to and cover the whole wound surface, so that the injectable fluid gelatin hemostatic material adapts to a complicated or deep wound area, is particularly suitable for the surgical fields of neurosurgery, spinal surgery and the like requiring precise hemostasis, and has a wide application prospect. The traditional Chinese medicine composition shows a remarkable clinical effect.

The present invention relates to the technical field of medical instruments, and more specifically, it relates to a retractor for neurosurgery, including a retracting mechanism, which includes a handle assembly, and a retracting assembly rotatably mounted on the handle assembly, the handle assembly including a first handle and a second handle rotatably connected together, and a matching self-locking member arranged on the first handle and the second handle, the retracting assembly including a support rod rotatably mounted on one end of the first handle and the second handle, a sliding member arranged on the support rod, a retracting hook rotatably mounted on the sliding member, and a parallel separation member arranged on the support rod. The present invention solves the problem that during surgery, the doctor's limb movements during surgery will cause the retractor's retractor hook to warp up or down, thereby causing excessive pulling on the patient's tissue.

The invention discloses a partial pressure type extensible medical elastic cap, and relates to the technical field of neurosurgery postoperative nursing instruments, the partial pressure type extensible medical elastic cap comprises a partition debugging assembly, the outer surface of the partition debugging assembly is provided with a connecting assembly, and the partition debugging assembly comprises an elastic cap body. According to the partial pressure type extensible medical elastic cap, in order to improve the practicability of the elastic cap for head pressure bandaging after the craniocerebral operation, the main body width of the elastic cap body is increased to 10 mm, the gradient pressure weaving technology is adopted, the central area is formed by processing a high-elasticity weaving layer, the low-pressure area is formed by processing a low-elasticity weaving layer, the cutting feeling can be reduced, and the elastic cap is more practical. The elastic cap can be prevented from being in contact with auricles, opening and closing of the elastic cap can be achieved through the combination of the two corresponding neodymium magnets, the purpose of locally pressurizing the head of a patient can be achieved by pressurizing the air bag, and the elastic cap is convenient to use. The problem that a traditional medical elastic cap in the prior art is simple in structure and low in practicability is solved.

The invention provides a neurosurgery postoperative nursing information management method. The method comprises the steps that physiological data and nursing operation data of a patient are collected and recorded; processing abnormal values and missing values in the data, standardizing the data and dividing the data into an analysis set and a verification set; training an optimized nursing information management system by using the analysis set, wherein the system adopts an improved intelligent optimization algorithm to adjust parameters of a basic nursing information management model; and inputting the verification set into the trained system to realize effective management. According to the invention, efficient and accurate management of postoperative nursing information can be realized, the nursing work efficiency and quality are improved, and the postoperative recovery effect of a patient is improved.

The invention belongs to the technical field of medical infusion, and particularly relates to a neurosurgical nursing infusion device which comprises a base, a supporting rod and a supporting plate, the base is fixedly arranged at the lower end of the supporting rod, the supporting plate is fixedly arranged at the upper end of the supporting rod, and the neurosurgical nursing infusion device further comprises a weighing hook which is arranged below the supporting plate and connected with the weighing hook. The weighing hook is used for lifting the medicine bottle; and the electromagnetic lifting mechanism is arranged at the upper end of the weighing hook. According to the invention, the RFID tag reader and the PLC are used for checking the information of medicines and patients, so that the risk of medicine use errors is reduced; a weighing sensor and an electromagnetic lifting mechanism are used for automatically adjusting the height of a medicine bottle according to liquid level changes in the medicine bottle, the infusion speed is stabilized, and the treatment effect is guaranteed; by means of the automatic speed reduction mechanism, the infusion speed is automatically reduced when liquid medicine in a medicine bottle is almost emptied, risks such as air embolism are avoided, meanwhile, an infusion tube can be heated, the infusion comfort of a patient is improved, and adverse reactions caused by low-temperature infusion are avoided.

The invention provides auxiliary equipment for clinical postoperative skull breaking and repairing in the neurosurgery department, and belongs to the auxiliary field of postoperative skull breaking and repairing. Comprising a U-shaped plate, a plurality of limiting grooves penetrating to the inner side of the U-shaped plate are formed in the U-shaped plate, an arc-shaped frame is installed above the U-shaped plate, two protective covers are installed at the top of the arc-shaped frame, and a plurality of circular plates are installed in the U-shaped plate; the clamping mechanism is located in the U-shaped plate and used for fixing the U-shaped plate to the head of a craniotomy patient; the switching assistors are located on the two sides of the protective cover, so that when the patient needs to apply medicine, medical staff can conveniently open the protective cover to apply medicine to the craniotomy position; according to the craniotomy device, by arranging the clamping mechanism and the switching assistor, the fixing position of the U-shaped plate can be flexibly adjusted according to the craniotomy part of a patient, medical staff can conveniently apply medicine to the head of the patient, and the working efficiency of the medical staff is improved.

A drainage frame used after neurosurgery comprises a movable base, a stand column is installed on the base, a telescopic column is arranged in the stand column, the section of the stand column and the section of the telescopic column are both rectangular, and the telescopic column can move in the vertical direction relative to the stand column and can be fixed at any position; an opening is formed in the side face of the stand column in the length direction, first clamping pieces are installed on any two side faces of the telescopic column, and the first clamping pieces extend to the outer side of the opening to be provided with an outer sleeve bottle; supporting columns are installed on the other two side faces of the telescopic column, second clamping pieces used for installing the outer sleeve bottle are arranged on the supporting columns in a sliding mode, and the second clamping pieces can be fixed at any position. The telescopic column capable of stretching out and drawing back is arranged, then the outer sleeve bottles are driven to move up and down, the main body of the drainage device can be adjusted in the height direction, and the two outer sleeve bottles capable of adjusting the horizontal position are arranged, so that the drainage bag can be driven to be adjusted in the horizontal direction.

The invention relates to the technical field of multi-modal registration, in particular to a neurosurgery visual operation navigation system based on multi-modal fusion, which comprises a feature fusion module, an image correction module, a deformation correction module, a layer labeling module and a navigation interaction module. According to the method, a DTI image and a CT image are aligned through three-dimensional pairing, white matter fiber and temporal bone edge directions are extracted, feature integrity is enhanced, edges are corrected through a structural similarity algorithm, space mapping precision is improved, a blood vessel center line and an ultrasonic image edge point track are combined, deformation is corrected, and drift and artifacts in an operation are restrained; the structure continuity of the blood vessel and the fiber is guaranteed, the positions of the white matter fiber and the blood vessel are integrated, a consistent directional diagram layer is formed, the navigation response sensitivity is improved through three-dimensional distance evaluation, a self-matching adjustment mechanism is set, the feature fusion and correction precision is enhanced, image deviation interference is reduced, and the navigation real-time performance and the analytic performance are improved.

The invention discloses a neurosurgery postoperative care system and method based on AI, and particularly relates to the technical field of medical care. According to the method, the basic parameter set and the characteristic parameter set of the patient are constructed, the basic parameter set is encoded, nursing cases of the same type of patients in the nursing database are accurately matched, and the adaptive scheme is screened; further calculating an effect-like comprehensive coefficient, namely preferentially selecting a scheme which is highly matched with the individual characteristics of the current patient and has an excellent effect as a preliminary scheme by combining the deviation degree of the physiological indexes of the patient and the case, the complication score of the case, the recovery efficiency, the rehabilitation score and the like, and sending the preliminary scheme to medical personnel to secondarily edit the preliminary scheme; finally, a personalized nursing scheme completely fitting the individual condition of the patient is formed, and the problems that in the prior art, most of traditional nursing schemes are formulated by medical staff based on a universal nursing guide, the formulating efficiency is greatly reduced, and the nursing effect cannot be guaranteed are solved.

The invention discloses a typical medical record training system for a neurosurgical brain operation, which relates to the technical field of neurosurgical brain operation training and considers the dynamic change of a training process, the regular calculation of a comprehensive assistance effect adaptation value and the repeated screening process. Along with student ability improvement and training key transfer, the most adaptive student list is adjusted in time. For example, the fine operation of the target student at the initial stage is prominent, and the operating room nursing student focuses on assistance; later decision-making ability needs to be enhanced, after rescreening, image subject students join cooperation, it is ensured that the auxiliary strength always meets the requirements of the students, and it is ensured that the training effect is continuously upgraded. The operation of the whole system depends on a large amount of training data, and scientific decision is made based on data from the links of index collection and evaluation to recommendation and distribution. On one hand, through redisk of previous data, a comprehensive skill evaluation value analysis model is continuously optimized, and key elements such as adaptive index weight are trained.