48 results about "Hemorrhagic risk" patented technology

The invention relates to the technical field of peritoneal drainage, in particular to a peritoneal drainage system based on hemoglobin real-time monitoring and intelligent early warning. According to the technical scheme, the device comprises an abdominal cavity drainage tube, an optical sensing module, a microprocessor module and a wireless communication module, wherein the microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and triggering early warning according to a preset multi-level alarm condition. The hemoglobin concentration in the peritoneal drainage liquid is accurately monitored in real time, intelligent early warning and a personalized response mechanism are combined, the limitation of traditional manual observation is broken through, the timeliness and accuracy of bleeding risk identification are remarkably improved, the infection risk is reduced through the closed design, the medical care working process is optimized through the system integration capacity, and the medical care efficiency is improved. Data sharing and remote cooperation are achieved, intervention time windows are shortened, patient prognosis is improved, nursing resources can be released, medical quality is improved, and a comprehensive and efficient solution is provided for postoperative monitoring.

The invention provides a postoperative bleeding risk monitoring method and system for a hepatobiliary patient. The method comprises the following steps: collecting real-time multi-modal data; constructing an LSTM-CNN hybrid model by using the time-frequency decomposition features, and obtaining a local tissue hypoxia index and a vasomotor function anomaly probability; the low-frequency impedance change rate and the albumin level are fused through a random forest algorithm, and the ascites occurrence probability and the effusion amount predicted value are obtained; and generating a bleeding point positioning coordinate and a thermodynamic diagram risk grade. And calculating a comprehensive bleeding risk probability and positioning a bleeding area. And generating graded early warning signals and recommending personalized treatment schemes or nursing suggestions. According to the invention, the LSTM-CNN hybrid model, the random forest algorithm and the three-dimensional convolutional neural network are adopted to deeply extract different data features, so that the limitation of single index evaluation is avoided. A causal relationship model is established through the Bayesian network, and the comprehensive risk probability calculation preciseness is improved; the early warning threshold is dynamically adjusted by combining the individual characteristics of the patient, and the traditional problem of easy misjudgment is solved.

The invention discloses a multi-factor risk assessment method for ovarian hyperstimulation, and relates to the technical field of intelligent medical treatment, and the method comprises the steps: based on a multi-source baseline data packet, calculating the trend of follicle volume along with time through ovarian reaction simulation to obtain a follicle reaction curve, calculating the probability of vascular injury through puncture path bleeding simulation, and calculating the risk of ovarian hyperstimulation according to the probability of vascular injury. Obtaining a bleeding probability, and fusing the follicle reaction curve and the bleeding probability to form a patient characterization risk vector; associating the intervention suggestions in the structured strategy list with the ovarian overstimulation risk score and the bleeding risk score to generate a risk change description, and forming a risk assessment report according to the risk change description; according to the method, the patient characterization risk vector fusing the follicle dynamic response and the puncture bleeding risk is constructed, so that the safety and individuation level of assisted reproduction treatment are effectively enhanced.

The application provides application of a substance for detecting neutrophil and / or total bilirubin level in preparation of a kit for predicting early postoperative hemorrhage risk after endoscopic biliary stent implantation, and provides a related prediction model. The application firstly verifies that the substance for detecting neutrophil and / or total bilirubin level can be used for predicting early postoperative hemorrhage risk after endoscopic biliary stent implantation, and based on this, provides a related prediction model, the model has good discrimination ability, and can provide a valuable evaluation tool for preventing hemorrhage of a patient subjected to endoscopic biliary stent implantation.

The application belongs to the technical field of biomedicine, and particularly relates to a construction system of a cerebral amyloid angiopathy recognition model, a storage medium and a kit. Based on plasma proteomic data of cerebral amyloid angiopathy patients and normal old controls, six key protein markers closely related to cerebral amyloid angiopathy are screened out. The application also provides a model for recognizing cerebral amyloid angiopathy based on a combination of six plasma protein biomarkers. The model shows excellent performance in multiple independent data sets, can accurately distinguish cerebral amyloid angiopathy patients from normal old controls, and further distinguish cerebral amyloid angiopathy patients with high-risk cerebral hemorrhage risk from those with low-risk cerebral hemorrhage risk. The application provides a new tool for early diagnosis and hemorrhage risk assessment of cerebral amyloid angiopathy.

This invention relates to a pharmaceutical composition and its application for treating acute ischemic stroke. The pharmaceutical composition for treating acute ischemic stroke comprises separately packaged tissue-type plasminogen activator citPA5 and a platelet aggregation inhibitor. Its beneficial effects include significantly improving cerebral blood flow recovery, shortening thrombolysis time, reducing infarct volume, and improving neurological function without increasing the risk of bleeding, demonstrating a good synergistic thrombolytic effect.

The invention relates to the field of medical health and intelligent optimization, and discloses a dialysis anticoagulation risk intelligent early warning method and system fused with multi-modal physiological signals, and the method comprises the steps: S1, synchronously collecting the multi-modal data of a patient in the dialysis process, and standardizing the multi-modal data into a unified time sequence matrix; s2, inputting the unified time sequence matrix into an anticoagulation risk prediction model, performing first-class feature extraction on continuous monitoring signals, performing second-class feature extraction on discrete detection signals, and extracting embedding features of patient individualization and treatment scene data; performing cross-modal fusion on the three types of extracted features to generate a fusion feature vector, and outputting a thrombus risk probability and a bleeding risk probability in a future preset time period; s3, when the risk probability exceeds the corresponding early warning threshold value, performing search optimization on the administration parameter of the current anticoagulant, and generating a dose adjustment instruction; and S4, executing the adjustment instruction, predicting the anti-coagulation risk again, and evaluating the regulation and control effect. Therefore, the safety and effectiveness of the hemodialysis process are remarkably improved.

The application discloses a polypeptide FXIa inhibitor FXIapepin with high inhibition and high specificity. Since FXIa can be used as a low hemorrhage risk anti-thrombus treatment target, the polypeptide inhibitor can be used for preparing a drug for developing a low hemorrhage risk treatment or prevention of a thrombotic disease, and has a wide application prospect.

This invention provides an aneurysm embolization auxiliary device, belonging to the field of medical device technology. The device includes a delivery catheter, an operating handle, a balloon, and a filling unit. The delivery catheter delivers a treatment device to the aneurysm location. The operating handle is located at the proximal end of the delivery catheter. The balloon, after inflation, supports the blood vessel. The filling unit fills the aneurysm with an injectable gel for treating the aneurysm from the operating handle location along the delivery catheter. The injectable gel solidifies within the aneurysm. During operation, the delivery catheter delivers the balloon to the aneurysm location. After inflation, the balloon supports and positions the blood vessel. The filling unit fills the aneurysm with the injectable gel, which solidifies upon entering the aneurysm to treat it. This invention primarily addresses technical problems in existing interventional aneurysm treatment methods, such as easy displacement of coils and the increased risk of bleeding due to the need for long-term medication after stent implantation.

The invention discloses a secondary cesarean delivery postpartum hemorrhage risk early warning model, and relates to the technical field of gynaecology and obstetrics medical treatment. The construction method of the early warning model comprises the following steps: data collection: collecting clinical data of a puerpera in secondary cesarean section, including basic and historical information, information of the gestation period, information of the delivery period of the gestation period and an outcome variable; single factor analysis: screening significant factors of an assisted reproductive technology, a pre-pregnancy body mass index, a pre-antenatal body mass index, pregnancy and birth times, previous cesarean birth times, the number of fetuses, gestational week termination, combined hypertension, combined hysteromyoma, a placenta and uterus relationship, fetal prolapse and uterus height. According to the method, based on large sample data and Logistic regression analysis, the gestational week of gestation termination is screened out, three independent risk factors of hysteromyoma and the relationship between the placenta and the uterus are combined, and model construction has statistical significance; risk scores are quantified through column diagram design, abstract risks are converted into visual values, and the clinical decision-making efficiency is improved.

The application discloses a kind of multi-factor risk assessment methods for ovarian hyperstimulation, it is related to intelligent medical technical field, including, based on multi-source baseline data package, the trend of follicle volume change with time is calculated by ovarian response simulation, obtain follicle response curve, the probability of vascular injury is calculated by puncture path hemorrhage simulation, obtain bleeding probability, and the follicle response curve and bleeding probability are fused, form patient characteristic risk vector;According to the intervention suggestion in the structured strategy list is associated with ovarian hyperstimulation risk score and bleeding risk score to generate risk change description, and form risk assessment report according to risk change description;The application constructs the patient characteristic risk vector by fusing follicle dynamic response and puncture bleeding risk, effectively enhance the safety and individualization level of assisted reproductive treatment.

The invention relates to the technical field of angiography, in particular to an intelligent pressing device for angiography in the cardiovascular surgery department, and solves the problems that an existing pressing device for angiography in the cardiovascular surgery department generally carries out hemostasis operation after a catheter is pulled out, and the hemostasis timeliness is low; and the pressing device for angiocardiography in the cardiovascular surgery cannot apply downward pressure of corresponding magnitude according to different patients, and the hemostasis efficiency of the device is poor. Comprising an arm placing table, and an anti-extubation bleeding type high-adaptability pressing device is installed on the upper end face of the arm placing table. Before the catheter is pulled out, the gauze is attached to the puncture opening, and when the catheter is completely pulled out and the downward pressure is increased, the bleeding risk at the moment of catheter pulling can be effectively reduced, meanwhile, an alginate solution can be automatically sprayed on the outer surface of the gauze through the healing accelerating mechanism before pressing operation is conducted, and the healing speed is increased. Therefore, the time required by the single pressing operation of the equipment is shortened.

The invention relates to the technical field of automatic medical treatment, provides an interventional nursing process control scheme, and particularly relates to an interventional nursing process monitoring method and device and electronic equipment. According to the method, the basic medical data related to clinic is constructed, and the basic medical data is subjected to linear regression processing twice through the screening model pair formed by combining the unit linear regression model and the multiple linear regression model, so that the associated medical data highly related to the bleeding risk is obtained; and carrying out risk probability calculation on the associated medical data through the prediction model to obtain a final risk value, so that the bleeding risk in the nursing stage is determined. Compared with the prior art, according to the embodiment of the invention, the hemorrhagic high-risk patient can be automatically identified in the early stage of the nursing stage, and the occurrence of hemorrhage conditions is reduced.

The embodiment of the invention relates to the technical field of instruments for removing obstruction in blood vessels, in particular to a coronary thrombolysis catheter and a coronary thrombolysis assembly suitable for an ultrasonic guided intervention technology. The catheter includes a catheter assembly disposed to enter the aorta and extend into the left ventricle. The medicine conveying pipe is arranged in the catheter assembly and is arranged to be capable of conveying thrombolytic medicine into the thrombus of the coronary artery through the catheter assembly. The balloon is arranged outside the catheter assembly and can expand after being filled with water, so that the space between the catheter assembly and the aorta is sealed, the thrombolytic medicine cannot flow out of the coronary artery, and thrombus is dissolved. The catheter assembly is configured to allow blood within the left ventricle to flow out through the catheter assembly. According to the catheter, the thrombolytic drug can stay in the coronary artery for a long time, so that the thrombolytic effect and targeting performance are improved, the thrombolytic drug conveyed to the coronary artery is prevented from leaking to the whole body through the aorta, the influence of the thrombolytic drug on the whole body blood coagulation mechanism is reduced, the risk of cerebral hemorrhage and bleeding of other visceral organs is reduced, and the safety of thrombolytic treatment is improved.

The present application relates to the technical field of medical artificial intelligence, and more particularly to a method for detecting critical multiple bone trauma based on AI. The method integrates physiological monitoring and image data of the patient, extracts the fracture site and constructs a whole-body bleeding risk distribution map, performs correlation analysis on hemoglobin changes to locate the bleeding source, and predicts the decompensation time window through the coagulation state trajectory. The above features are input into the decision model to simulate the physiological evolution path of different treatment schemes and calculate the risk, and finally output the treatment scheme with the lowest adverse probability and the decision time node. The present application realizes dynamic quantitative evaluation and optimized decision support of the detection results of the bleeding risk of critical multiple bone trauma.

The method of the embodiment of the present invention proposes a prediction method and system for severe postpartum hemorrhage. The method first obtains multimodal medical imaging data and then preprocesses and aligns it; then the image is segmented by a sliding window strategy, and structural features, texture features, hemodynamic features and vascular distribution features are extracted from the segmentation results; then the features are used as nodes to construct a graph structure, and the relationship between the nodes is encoded using a graph convolutional network, and the correlation of the features at the topological level is calculated; finally, the features are fused according to the correlation, input into the prediction model and the prediction results are output. The method of the present invention improves the prediction ability and accuracy of the prediction through multi-feature fusion and multimodal data integration, enhances the robustness of the model in different data environments, can timely identify the risk of bleeding in pregnant women in the middle and late stages of pregnancy, provide early intervention and treatment recommendations, and significantly reduce the incidence and lethality of severe postpartum hemorrhage.

The invention relates to the technical field of operation risk assessment, in particular to a bleeding risk assessment method and system in general surgery resection, and the method comprises the following steps: collecting the instantaneous pressure of the outer wall of a blood vessel in the operation to extract the main frequency and energy characteristic calibration time, collecting the multi-direction strain rate to synthesize a fracture expansion rate curve, and extracting the peak value and intensity; the method comprises the following steps: acquiring a pressure value, calculating a key time point phase difference, combining with intensity to generate a fracture critical state, matching a frequency band and performing frequency conversion to judge a resonance generation response section, weighting and calculating a risk index in combination with the fracture state, and outputting a result when a threshold value is exceeded and a bleeding risk label is added. Frequency domain energy and strain rate are extracted to quantify a fracture trend, a phase difference is analyzed to judge a fracture state, resonance is identified by combining frequency conversion, a risk index is calculated by fusing multi-source signal weighting, accurate risk prediction and dynamic response are realized, and support is provided for operation decision making.

The utility model provides a nasal bronchoscope operating tube which comprises an operating tube, and the rear end of the operating tube is connected with a first connector of a tee joint in a sealing mode. A second interface, on the same axis with the first interface, of the tee joint is a bronchoscope inlet, and the second interface is detachably connected with an end cover; a third interface of the tee joint is connected with a high-flow breathing humidifying therapeutic apparatus through a high-flow catheter; the operation tube which is inserted through the nasal cavity and has the front end arranged above the epiglottis is used as an entry channel of the bronchoscope; at least one air hole is formed in the side wall of the front end of the operation tube. The nasal bronchoscope operation tube serves as a bronchoscope operation pipeline, and the bleeding risk caused by nasal mucosa injury caused by movement of a bronchoscope in the operation process is reduced; meanwhile, the device can be connected with a high-flow humidifying oxygen therapy instrument, the oxygen deficit risk of the patient in the operation process is reduced, and particularly the oxygen deficit risk caused by upper airway obstruction easily occurring to some obstructive sleep respiratory syndrome and tongue retrograde falling patients is reduced.

The invention discloses an endoscopic living body sampling device for respiration and critical diseases, and belongs to the technical field of medical instruments, the endoscopic living body sampling device for respiration and critical diseases comprises a bent pipe section and a straight pipe section, and the straight pipe section is located at one end of the bent pipe section. An inner groove body, an outer through groove and a cylindrical sliding groove are formed in the straight pipe section, a main control rod is slidably connected into the cylindrical sliding groove, a first-class control assembly is arranged in the inner groove body and controls the main control rod to slide up and down, biopsy three-jaw forceps are arranged at the bottom end of the main control rod, and a second-class control assembly is arranged in the cylindrical sliding groove and controls the main control rod to slide up and down. The second-class control assembly controls the biopsy three-jaw forceps to be opened or closed. According to the device, the sampling precision can be ensured, a etiology or pathology definite diagnosis basis is provided, the peripheral lesion diagnosis condition can be clearly observed, the device is simple to operate, compression can be performed during sampling, hemostasis is assisted by medicines, the bleeding risk is reduced, the sampling position precision is ensured, and the sample quality is ensured.

The invention relates to the technical field of bleeding risk prediction, in particular to a liver cirrhosis esophageal and gastric fundus varicose vein rupture bleeding risk intelligent prediction method which comprises the following steps: acquiring vein center line coordinates, cavity wall pressure and thickness, judging a curvature mutation section, analyzing a thickness gradient, generating difference data, establishing a coupling region in combination with pressure peak time, and calculating the risk of liver cirrhosis esophageal and gastric fundus varicose vein rupture bleeding risk. According to the method, direction consistency is extracted to form a weak zone, multi-section risk grading is completed, space mapping is executed, amplitude correction is performed to generate an optimized fracture risk prediction result, and local stress expression precision and prediction sensitivity are improved, so that a continuous evolution rule of a vein structure is better fitted, clinical interpretation decision is supported, and safety management value capacity is provided. A curvature mutation section is identified to extract cavity wall thickness change, time correlation is performed in combination with a pressure peak value, and coupling characterization of a structure and stress is constructed, so that geometric mutation of a vein section and a cavity wall weak zone are subjected to direction consistency analysis in the same space range, and a basis is provided for subsequent difference synchronous quantification.

The invention is suitable for the technical field of hemorrhage risk prediction, and provides a model construction method based on an acute ischemic stroke hemorrhage transformation risk column diagram, and the method comprises the steps: firstly obtaining the characteristic variable data set information of a target patient, and then obtaining the characteristic variable data set information of the target patient based on the preset numerical value association set information; the feature score information corresponding to each piece of feature variable data information is quickly determined, and finally the bleeding transformation risk assessment information is accurately generated according to the plurality of pieces of feature score information. According to the method, the high-risk individuals suffering from hypertension can be identified through the column diagram, technical help is simply and visually provided for clinical decisions of clinicians, the accuracy and efficiency of the clinical decisions are improved, and improvement of the clinical treatment decisions of the high-risk patients suffering from bleeding is facilitated.

The utility model provides a thyroid puncture needle for grabbing a whole nodule cell, which comprises a shell, a needle head and a needle head, the grabbing assembly is arranged in the first containing cavity in a sliding mode, and the grabbing assembly is provided with a grabbing part; the grabbing part is provided with a grabbing space, the grabbing part is elastically arranged, and the whole nodule cells are grabbed through sliding of the grabbing assembly; wherein the whole nodule cell after being grabbed is accommodated in the grabbing space. The problem that a needle head needs to be replaced frequently in a traditional puncture method is effectively solved, puncture efficiency and accuracy are improved, and meanwhile postoperative pain and bleeding risks of a patient are reduced.

The invention discloses a postoperative management method and system for gynecological tumors. The method comprises the following steps: acquiring physical sign monitoring data of a postoperative patient within a preset duration, wherein the physical sign monitoring data comprises bleeding parameters; determining a bleeding risk assessment result of the postoperative patient based on the bleeding parameters, and determining an incision management strategy of the postoperative patient based on the bleeding risk assessment result and the physical sign monitoring data; in the process of executing the incision management strategy, acquiring multi-dimensional vital sign data of the postoperative patient; potential complications of the postoperative patient are determined based on the multi-dimensional vital sign data, a postoperative management strategy is generated for the potential complications, and home nursing guidance corresponding to the postoperative management strategy is generated. The rehabilitation quality of gynecological tumor postoperative patients can be effectively improved, complications are reduced, and rapid recovery of the patients is promoted.

This invention relates to the field of abdominal drainage technology, and more particularly to an abdominal drainage system based on real-time hemoglobin monitoring and intelligent early warning. The technical solution includes an abdominal drainage tube, an optical sensing module, a microprocessor module, and a wireless communication module. The microprocessor module is configured to perform moving average filtering and dynamic trend modeling on hemoglobin concentration data; and to trigger early warnings based on preset multi-level alarm conditions. This invention, by real-time and accurate monitoring of hemoglobin concentration in abdominal drainage fluid, combined with intelligent early warning and personalized response mechanisms, overcomes the limitations of traditional manual observation, significantly improving the timeliness and accuracy of bleeding risk identification. Its closed design reduces the risk of infection, while its system integration capabilities optimize medical and nursing workflows, enabling data sharing and remote collaboration. This not only shortens the intervention time window and improves patient prognosis but also frees up nursing resources and improves medical quality, providing a comprehensive and efficient solution for postoperative monitoring.

The utility model provides a novel retractor device applied to a subclavian approach endoscopic thyroid surgery, and particularly relates to the technical field of medical instruments. The novel retractor device applied to the subclavian approach endoscopic thyroid surgery comprises a handheld device, the two ends of the handheld device are fixedly connected with an upper retractor and a lower retractor respectively, the upper retractor comprises a horizontal end and a vertical end, the horizontal end and the vertical end are cylindrical, the bottom end of the lower retractor comprises a transverse end and a vertical end, and the transverse end and the vertical end are connected with the handheld device. And the transverse end and the vertical end are flat rectangles. The thyroid resection device has the advantages that the thyroid resection device can be used for single-side thyroid resection and double-side thyroid total resection, and the core of the thyroid resection device is unique structural design and operation mechanism. By means of innovative angle adjustment and traction functions, exposure of the thyroid superior pole and surrounding important nerve structures is remarkably improved, and the problems of insufficient exposure, high bleeding risk and nerve injury in the prior art are solved.

The present invention belongs to the field of biomedicine technology, and specifically relates to an anti-thrombotic polypeptide Cb17037 and its application. The anti-thrombotic polypeptide Cb17037 provided by the present invention is screened from cone snail toxin, has no bleeding risk at a concentration of 20 mg / kg and below, and has a good improvement effect on carotid artery injury and ischemic stroke. The anti-thrombotic polypeptide Cb17037 of the present invention has a significant inhibitory effect on platelet activation and aggregation induced by PAR‑1 AP, but has no significant effect on basic coagulation indicators such as APTT, PT and TT. The anti-thrombotic polypeptide Cb17037 of the present invention has an anti-thrombotic effect in vivo and in vitro, can be used to prepare products that inhibit platelet activation and / or aggregation, anti-thrombotic drugs, prevent and / or treat thrombotic diseases, and has a lower risk of bleeding.

The application discloses a method for training a prediction model for a bleeding risk and related products. The method comprises: collecting medical image data, genotypes and bleeding risk labels of a subject, wherein the medical image data is labeled with a bleeding mask and a classification type of cerebral cavernous malformations; based on the medical image data, feature extraction is performed using the feature extraction unit to obtain image features; the genotypes are embedded into the image features using the embedding unit to obtain embedded features; the embedded features are input into the prediction unit for bleeding risk prediction and classification prediction, and a loss function is calculated based on the bleeding risk labels and the classification type; and the prediction model is trained based on the loss function, so that the prediction unit outputs bleeding risk prediction results and classification prediction results. The scheme of the application can improve accurate bleeding risk and classification prediction, and provide comprehensive decision support for clinics.

The invention discloses a multifunctional thyroid puncture device which comprises a main shell, a moving assembly and a puncture assembly. A moving assembly in the main shell comprises a threaded rod, a moving fixing block and a limiting rod, and accurate advancing and retreating of the puncture needle are achieved through cooperation of the threaded rod, the moving fixing block and the limiting rod. The puncture assembly comprises a negative pressure cylinder and a puncture needle, the negative pressure cylinder is used for providing negative pressure, the diameter of the puncture needle is larger than that of a conventional puncture needle, and an insulating ring and a conductive ring are arranged between a needle tip and a needle body. An inner wire of the connector is connected with the needle point, an outer wire is connected with the conducting ring, and the connector is connected with an external radio frequency host through a cable. High-frequency current is utilized to generate a heat effect in tissue between the needle tip and the conducting ring, active blood coagulation of a puncture channel is achieved, and the bleeding risk is effectively reduced; meanwhile, due to the hemostasis function, a thicker puncture needle can be selected to obtain more tissue samples, and the diagnosis accuracy is improved; by matching with precise adjustment of the moving assembly, the puncture depth is controllable, and the operation safety and success rate are improved.

The invention discloses a puncture target positioning method and system based on image recognition, and relates to the technical field of medical images. The method comprises the following steps: constructing a personalized model, and establishing association mapping of respiratory rhythm and target movement of a patient and puncture resistance baselines of different tissues; multi-dimensional perception and dynamic recognition are carried out, and puncture area anatomical structure acquisition, target spot high-precision positioning, dynamic motion compensation and bleeding risk assessment are achieved; performing priority ranking and path safety index calculation on puncture targets, determining an optimal puncture sequence and evaluating path safety; planning and verifying a dynamic puncture path to realize intelligent planning and dynamic adjustment of the path; and through self-adaptive puncture control and multi-dimensional risk protection, it is ensured that the puncture process is safe and controllable. According to the method, through multi-source data fusion, real-time dynamic compensation, risk grading early warning and self-adaptive control, key anatomical structures are avoided, puncture accuracy and safety are improved, operation complexity is reduced, and reliable technical support is provided for clinical puncture.