54 results about "Postsurgical complications" patented technology

The invention relates to the technical field of brain surgery, in particular to a construction method based on a craniocerebral tumor minimally invasive surgery risk assessment model. The method comprises the following steps: acquiring craniocerebral tumor minimally invasive surgery clinical data, including patient iconography data, surgery record data, postoperative complication data and patient basic data; performing data cleaning on the surgical clinical data, and performing standardization processing to unify a data format so as to obtain a standardized clinical data set; and extracting the size, position and shape of the tumor and the relationship between the tumor and surrounding tissues from the standardized clinical data set, and generating a tumor space structure model by using a three-dimensional reconstruction technology. According to the method, main factors influencing the surgical risk are identified through a statistical analysis method, including the contribution degree of each feature to the surgical risk and the interaction between the features, and it is ensured that the evaluation process is more objective and accurate.

The invention discloses a spinal surgery postoperative patient rehabilitation intelligent management system and method, and relates to the technical field of spinal surgery postoperative rehabilitation management, and the system can carry out real-time analysis on implant displacement characteristics, and can carry out early warning on potential deviation of an implant in advance. The first analysis module can calculate the risk index Fx of the implant, so that timely correction or adjustment is promoted, the risk of implant deviation is reduced, and the occurrence rate of postoperative complications is reduced. And the second analysis module is specially used for extracting wear characteristics of the implant, constructing an implant wear index Ms, and helping a doctor to intervene in time by monitoring the wear condition of the implant in real time so as to avoid dysfunction or risk caused by wear of the implant. And the third analysis module calculates a comprehensive fusion index ZRh by extracting bone grafting area change characteristics, bone mineral density and rehabilitation bone healing information, so that a doctor can know bone mineral density change and rehabilitation conditions of a patient, a treatment scheme is adjusted, and a rehabilitation effect is improved.

The invention belongs to the technical field of medical clinic and health monitoring, and discloses an operation hypotension early warning system and prediction method based on multi-modal physiological parameters, and the system comprises a data acquisition module, a feature engineering module, a multi-modal integration and prediction module, a decision support module, a result display module and the like. The feature engineering module constructs a multi-dimensional feature space including key indexes, composite indexes and dynamic indexes based on various real-time physiological parameter data of a patient, the multi-modal integration and prediction module carries out feature screening, constructs optimal feature combinations corresponding to different prediction time windows, and carries out prediction on the optimal feature combinations. And designing two-stage model processing to obtain a hypotension risk prediction result of a plurality of prediction time windows. According to the method, the possibility of hypotension events in multiple time periods in the future in the operation process can be predicted, and clinical intervention suggestions are provided, so that medical personnel can intervene and prevent the hypotension events in advance, and postoperative complications related to hypotension are reduced.

The invention discloses a liver transplantation post-operation intelligent management system and method based on multi-modal monitoring and AI. The method comprises the following steps that S1, physiological parameters, biomarker data, iconography data and self-reporting data of a patient are collected in real time; s2, carrying out preprocessing, feature extraction and fusion on the collected data, and predicting the postoperative complication risk of the patient by using a risk prediction model; s3, generating a personalized management strategy by using a reinforcement learning algorithm according to a risk prediction result, and providing early warning information and intervention suggestions for medical personnel and patients; s4, according to the postoperative management plan and the doctor's advice of the patient, a fixed-point medication reminding function is set, a personalized medication scheme is generated, and medication compliance of the patient is monitored; and S5, the patient makes an appointment for remote medical services, selects appropriate doctors and time to carry out video inquiry or online consultation, and records inquiry content.

The invention discloses a perioperative period risk prediction and intervention method and system based on multi-modal data fusion, and relates to the technical field of medical artificial intelligence, and the method comprises the following steps: S100, building a data collection mechanism, obtaining perioperative period related data from a plurality of medical information systems, the data comprises structured examination indexes, text medical history records, medical image report conclusions and pathological diagnosis results. According to the method, the high-dimensional feature vector is constructed by fusing the structured test data, the text medical history, the image conclusion and the pathological result, and the quantitative prediction of the postoperative complications is realized in combination with the trained risk prediction model; the system can automatically generate a natural language interpretation and personalized intervention plan, and an electronic medical record is embedded, so that closed-loop management of risk identification, cause interpretation and intervention execution is realized, the intelligent, standardized and personalized level of perioperative period management is improved, and the occurrence rate of complications is remarkably reduced.

The invention discloses a 3D printing bone grafting window-free porous tantalum metal interbody fusion cage which comprises a fusion cage body, the fusion cage body is integrally formed by machining medical-grade tantalum metal, and a clamping hole is formed in the front side of the fusion cage body and used for being connected with an operation instrument; the two groups of porous net racks are respectively fixed on the upper surface and the lower surface of the fusion cage body, the outer side surface of each porous net rack is a contact interface, and each contact interface is of an arc-shaped structure; bayonets are symmetrically formed in the inner wall of the front side of the fusion cage body, the clamping hole is formed between the bayonets, and the bayonets are used for limiting operation instruments. The porous tantalum material with high biological activity and high porosity is adopted, reliable spinal fusion can be achieved on the premise that bone grafting is not needed, the problems of bone taking trauma and donor region complications related to bone grafting and immunoreaction caused by allogeneic bone grafting are effectively solved, and therefore the occurrence risk of postoperative complications is reduced, and the bone grafting success rate is increased. The postoperative recovery process of the patient is improved.

The invention discloses a tumor intervention postoperative auxiliary nursing system based on real-time health data, and particularly relates to the technical field of medical nursing, and the system comprises the following modules: a data collection module obtains physiological parameters, behavior data and equipment states of a patient in real time; the data processing module cleans, formats and stores the collected data; the efficacy evaluation module evaluates the treatment cooperation efficacy of the patient; the matching evaluation module evaluates the matching degree of the equipment and the physiological state of the patient; the classification model construction module performs classification according to the evaluation result and determines a nursing type; and the nursing intervention module executes a corresponding intervention strategy according to the classification result. The system realizes intelligent and personalized postoperative care; according to the physiological data, the treatment adaptability and the equipment adaptability of the patients, personalized nursing strategies are intelligently matched, and it is ensured that each patient is nursed most suitable for the health condition of the patient after an operation. The personalized nursing scheme is beneficial to accelerating the recovery of the patient and reducing postoperative complications and adverse reactions.

The invention discloses a coronary artery interventional therapy complication monitoring and early warning method and system, and relates to the technical field of coronary artery complication prevention, and the method comprises the steps: building a concerned complication preference matrix of a real-time patient coronary artery interventional therapy mode; according to the physiological state of the patient and the coronary artery interventional therapy postoperative maintenance medicine list, whether the coronary artery interventional therapy postoperative return visit multi-source parameters of the patient are in a reasonable range interval or not is evaluated in real time; based on the concerned complication preference matrix of the coronary artery interventional therapy mode of the patient, performing fuzzy division on the postoperative return visit multi-source parameters of the coronary artery interventional therapy of the patient to obtain a concerned complication preference personalized time sequence parameter matrix of the coronary artery interventional therapy mode of the patient, and analyzing the change trend of each complication preference personalized time sequence parameter; and predicting a complication high-risk time window of the coronary intervention treatment mode of the patient, and generating coronary intervention treatment complication monitoring early warning. The method has the advantages that the complication early warning accuracy is improved, and the postoperative complication monitoring efficiency is improved.

The invention discloses a flexible traction device for pelvic fracture reduction. The flexible traction device comprises a translation unit, a lifting unit, a rotation unit, a traction rope winding and unwinding unit, a traction rope, a tensioning unit, a traction force monitoring unit and a bone nail clamping unit. By means of specific arrangement of the units and cooperative arrangement of the units, the problems that traditional manual traction operation is unstable, traction force is insufficient and the like are solved, damage to soft tissue is reduced, the risk of postoperative complications is reduced, stable and accurate support is provided for large traction force needed by pelvic fracture reduction, and the operation efficiency is improved. And the traction effect and the stability of the traction device are greatly improved.

The invention discloses a zygomatic implant, which belongs to the technical field of dental implant, and comprises a zygomatic bone end implant, the zygomatic bone end implant is connected with a maxillary bone end implant through a connecting part, the outer side of the zygomatic bone end implant is provided with a first thread part, and the outer side of the maxillary bone end implant is provided with a second thread part. The thread diameter of the first thread part is smaller than that of the second thread part. And the connecting part is a rod body with a smooth surface. Through the sectional design of the zygomatic bone end implant, the connecting part and the maxillary bone end implant and the combination of different thread structures and smooth surfaces, the defects of the zygomatic implant in the prior art in the aspects of stability, cleaning difficulty, postoperative complications and the like are overcome, and the stability and antibacterial ability of the implant are improved.

The utility model belongs to the technical field of medical instruments, and relates to a skull groove forming comparison tool which comprises a handheld assembly and a comparison portion, an inclined inserting opening is formed in the comparison portion, the handheld assembly is connected with the comparison portion through the inclined inserting opening, and the handheld assembly comprises a handle and a front rod which are connected. And the diameter of the front rod is gradually reduced from one end close to the handle to one end close to the comparison part. According to the utility model, the problem that a required bone groove with a specific size cannot be effectively, safely and reliably created in a clinical operation is solved, and the created bone groove is ensured to be completely matched with an implant in size and position; the device is simple in structure and easy to use, high dependence on personal skills and experience of doctors in the operation process is reduced, the consistency and repeatability of the operation are improved, and the operation time is saved; the problems that in the bone groove creating process, a patient or an implant is injured, and the risk of postoperative complications is increased are effectively solved.

The application provides a postoperative physiological data analysis method and a collection device, and relates to the technical field of information processing. The method collects postoperative physiological data of a patient through a collection device, so that a patient's exhaust identification and pose change identification can be generated according to the exhaust time and pose data of the collected physiological data, and then warning information can be generated based on the exhaust identification and the pose change identification. Through the warning information, medical staff can be reminded to help the patient to exhaust in time, and the occurrence of postoperative complications of the patient can be reduced. The method can automatically monitor the exhaust and pose data of the patient through the collection device, can help the medical staff to accurately and timely master the physiological change condition of the patient after the operation, and avoids false reports or omissions caused by the patient's active reporting of physiological data. Based on the provided physiological data analysis method, warning information can be generated, so as to help the medical staff to timely intervene in the abnormal condition of the patient after the operation, and reduce the occurrence of surgical complications.

The application discloses a risk prediction method for subsidence of an intervertebral fusion cage after lumbar interbody fusion, and comprises the following steps: acquiring preoperative image data and postoperative image data within one week after operation of a target patient, wherein the preoperative image data and the postoperative image data comprise multiple image features reflecting local anatomical morphology, sagittal balance and bone conditions of the spine; inputting the multiple image features into a pre-trained subsidence risk prediction model to obtain a risk probability of the target patient suffering from the subsidence of the intervertebral fusion cage; wherein the subsidence risk prediction model is obtained by screening a core prediction feature set through a "funnel type" feature screening process of fusing preoperative native anatomical parameters and postoperative early image parameters, and by training the core prediction feature set by using a machine learning algorithm based on a historical patient data set containing subsidence samples and non-subsidence samples; and the application reduces the occurrence of postoperative complications.

The present invention discloses the use of an inhibitor anti-CD90.2, which can reduce the expression of innate lymphoid cells and thus can be used as an anti-pneumonia preparation targeting ILC for post-infarct pneumonia. The expression of ILC2 cells in patients with acute cerebral infarction increases. After the clearance of ILC, differential expression of pneumonia-related indicators is observed in patients with acute cerebral infarction, indicating that ILC2 promotes pneumonia after cerebral infarction. The inhibitor anti-CD90.2 (250 μg / mouse) was injected into Rag- / - mice 48 hours before modeling. The expression of ILC2 was measured 24 hours after MCAO modeling and was found to decrease, indicating that the inhibitor anti-CD90.2 can play an anti-pneumonia role by reducing the expression of ILC2 in mice with acute cerebral infarction. The present invention provides a new target for the prevention and treatment of pneumonia, a complication after acute cerebral infarction surgery. At the same time, it is proposed that the inhibitor anti-CD90.2 reduces the expression of ILC2 and thus can be used as an anti-pneumonia preparation targeting ILC2, achieving an effective combination of theoretical research and practical application.

Methods and systems for predicting post-operative complications after EVAR, including calculating a post-operative complication probability of a patient after EVAR, which comprises generating a plurality of 3D CTA reconstruction images of the patient with abdominal aortic aneurysm; and providing the plurality of 3D CTA reconstruction images of the patient to a prediction neural network configured to predict post-operative complications after endovascular aneurysm repair. The prediction neural network is trained by generating one or more datasets including a plurality of post-operative 3D CTA reconstruction images of patients after EVAR; selecting a first set of images showing positive post-operative complications and a second set of images showing negative post-operative complications in accordance with a determined positive:negative ratio; determining a training input by downsampling the second set of images and augmenting the first set of images and the downsampled second set of images; and providing the training input to the prediction neural network.

The invention discloses a femoral head necrosis prediction system and method based on Transform, and belongs to the technical field of image processing, the system comprises a data acquisition module, a data processing module, a data balancing module, a feature extraction module, a feature merging module and a necrosis classification module; the method comprises the following steps: acquiring preoperative hip joint CT data, pre-processing to unify specifications, adopting directional data enhancement to solve the problem of class imbalance, extracting features by virtue of Video Swin Transform, merging and modeling a spatial relationship through volume blocks, and finally outputting a necrosis classification result. According to the femoral head necrosis prediction system and method based on Transform provided by the invention, the prediction accuracy and robustness are effectively improved, the problem of model instability caused by strong subjectivity, hysteresis and data imbalance in the prior art is solved, an objective and efficient prediction tool is provided for clinic, and the risk of postoperative complications is reduced.

This disclosure provides a monitoring and early warning system and computer device for stroke revascularization surgery; including: an acquisition module for acquiring a first set of neuroelectrophysiological data and a second set of neuroelectrophysiological data; a first processing module for obtaining a first impairment level characterizing the preoperative neurological function impairment based on the differences between the physiological data of the first affected side and the physiological data of the first healthy side at the same time point in the first set of neuroelectrophysiological data; a second processing module for obtaining a second impairment level characterizing the postoperative neurological function impairment based on the differences between the physiological data of the second affected side and the physiological data of the second healthy side at the same time point in the second set of neuroelectrophysiological data; and a prediction module for predicting the probability of various complications within a predicted postoperative time period. By comparing and analyzing the preoperative and postoperative neuroelectrophysiological data of the affected / healthy side, the risk of complications after revascularization surgery can be predicted.

FIELD: otorhinolaryngology.SUBSTANCE: under endotracheal anesthesia, an endoscope equipped with optics and an instrument for removing pathological contents of the maxillary sinus are inserted into the nasal passage. The inferior nasal concha is displaced medially using a raspatory. Then, stepping back from the edge of the piriform opening by 1.5–2.0 cm in the caudal direction, a mucoperiosteal flap of the lateral wall is separated in the lower nasal passage. The mucoperiosteal flap is displaced posteriorly, exposing the bone skeleton in the projection of the inferomedial angle of the maxillary sinus. Next, using a cold plasma coblator, in ablation mode, the mucous surface of the bone skeleton is evaporated for 2–3 seconds, followed by coagulation of small vessels. Then, a bone valve measuring 10–15 mm is formed from the exposed bone skeleton. The bony valve is retracted in the caudal direction, forming an antrostomy. A 70-degree endoscope is inserted through the formed antrostomy and the pathological contents of the sinus are visualized. In this case, if the cyst is visualized with a coblator in ablation mode, the cyst is evaporated along with its contents, and the remaining cyst is captured and removed. If a polyp is visualized, the polyp stalk is first evaporated, and then the remaining part of the polyp is removed. If a foreign body is visualized, it is removed with forceps. In this case, if the foreign body is encapsulated or located in the thickness of the mucosa, a coblator in ablation mode evaporates part of the mucosa until the foreign body is exposed, and then removed. Next, the sinus cavity is washed with saline solution. The antrostomy is closed with a bone flap. The formed mucoperiosteal flap is placed back in its original place.EFFECT: method allows for endoscopic endonasal removal of pathological contents from the maxillary sinuses with a minimal risk of cyst / polyp recurrence and postoperative complications, reduced blood loss during surgery, shortened surgical time, postoperative rehabilitation periods, and temporary disability.3 cl, 3 ex

The present invention relates to a hemostatic balloon catheter system, comprising a first tube, a second tube, a balloon, and a support member, wherein a lumen is formed between the first and second tubes; the balloon is eccentrically arranged at the distal end of the second tube and forms a channel with two open ends between the balloon and the distal end, the balloon having a balloon cavity connected to the lumen and a plurality of drug injection paths on its upper surface; the support member is arranged in the channel and has a supporting state of arching outward and an initial state of resetting inward, when the support member is in the supporting state, the support member drives the balloon to arch outward, one end of the support member is movably arranged on the second tube and can slide controllably relative to the second tube so that the support member can switch between the initial state and the supporting state. The system drives the balloon to arch outward through the support member, so that the balloon can contact the damaged part of the blood vessel, and can achieve precise penetration of the drug, while ensuring the normal circulation of blood during the hemostasis process, reducing the risk of postoperative complications.

The utility model relates to the technical field of medical apparatus and instruments, and discloses a flat nylon rope for purse-string suture under an endoscope, which comprises a flat annular nylon rope body, the length of the flat annular nylon rope body is matched with the edge of a wound surface, and the flat annular nylon rope body is made of a high-strength and high-flexibility medical nylon material; the elastic fixing buckle is detachably connected with the flat annular nylon rope body and is used for fixing after the nylon rope is tightened; according to the flat cross section design, when the tissue clamp is used for clamping, the tissue clamp can be kept in the direction perpendicular to the wound surface, and therefore the suturing stability and uniformity are improved. The stability and success rate of purse-string suture under the endoscope are improved, the operation difficulty is lowered, the operation time is shortened, meanwhile, the suture sealing performance is enhanced, and the risk of postoperative complications is reduced.

This invention discloses a method for predicting the risk of complications after esophageal surgery. The method includes: acquiring multi-parameter monitoring data collected at fixed time intervals during postoperative monitoring of patients after esophageal surgery, generating a multi-parameter time series dataset; based on a database of historical patients with no complications, grouping and matching historical patients according to age group, surgical type, and surgical duration, calculating the mean and standard deviation of each parameter at each time point after surgery for each group, and generating a standard recovery trajectory reference template containing the expected value and normal fluctuation range of each parameter at each time point after surgery; calculating the difference between the measured values ​​of each parameter of the current patient at each time point and the expected values ​​at the corresponding time points in the standard recovery trajectory reference template, and standardizing the difference by dividing it by the corresponding standard deviation; this invention achieves dynamic postoperative assessment of the risk of complications after esophageal surgery and can capture early abnormal patterns of slight deviations in multiple parameters.

The present invention discloses a quality assessment and monitoring system and method based on the temperature and pressure of the vascular anastomosis site, which relates to the field of medical equipment technology, including an implant detection unit, a wireless receiver module and a vascular anastomosis quality analysis platform, wherein the implant unit transmits the detected temperature / pressure data to the vascular anastomosis quality analysis platform based on the wireless receiver module. The quality assessment and monitoring system and method based on the temperature and pressure of the vascular anastomosis site can monitor and accurately analyze the temperature / pressure differences of the surgical anastomosis site in real time, thereby providing doctors with key data to evaluate the anastomosis quality, which not only improves the success rate of the operation and reduces the risk of postoperative complications, but also can effectively guide doctors to make immediate adjustments during the operation to ensure the optimal results of the operation; the system can also continuously monitor the recovery of the anastomosis site, providing a scientific basis for subsequent treatment, thereby greatly improving the patient's treatment experience and rehabilitation quality.

The invention relates to the field of post-operative complications. The invention provides a source of autophagy-inhibiting amino acids for parenteral application as a medicament for use in at least a per-operative treatment of the vascular system to reduce duration of post-operative complications (POCs) in a subject. Each of said amino acids is selected from the group consisting of alanine (in one letter code: A), glutamine (Q), glycine (G), valine (V), leucine (L), isoleucine (I), proline (P) and arginine (R). The invention also provides methods for reducing duration of post-operative complications (POC) in a subject.

The invention belongs to the technical field of medical instruments, and particularly relates to an intelligent radial artery compression hemostat and a hemostasis method thereof, a micro stepping motor, a compression head, a film type pressure sensor and an infrared reflection type sensor are integrated, and high-precision application and real-time dynamic adjustment of compression force are achieved through mechanical and electrical integration design. The device adopts a closed-loop control strategy based on a PID (Proportion Integration Differentiation) algorithm, can automatically complete the processes of initial pressurization, dynamic pressure stabilization and segmented pressure reduction, realizes 360-degree real-time monitoring and feedback regulation of a bleeding state, and effectively avoids postoperative complications caused by overpressure or pressure leakage. The hemostasis efficiency is improved, the medical care burden is relieved, and good clinical adaptability and popularization prospects are achieved.

The present invention relates to a synthetic medical data generation system and method for predicting postoperative complications. According to the present invention, the synthetic medical data generation system is provided, the system comprising: a medical data acquisition unit for acquiring an input vector in a form in which structured medical data related to clinical information of a patient and unstructured medical data in a text form recorded for the patient are arranged according to configuration rules; an embedding unit for embedding, in consideration of data type, the structured medical data and the unstructured medical data included in the input vector; and a synthetic medical data generation unit, which integrally learns the embedded input vector through a pre-trained deep learning-based synthetic data generation model, thereby generating structured synthetic medical data having the same form as the structured medical data.

The invention belongs to the field of upper airway obstruction surgery, and particularly relates to a method for simulating an upper airway obstruction surgery plan based on computational fluid mechanics, which is used for checking and diagnosing anatomical abnormality of an upper airway of a patient, and relates to multi-part diseases. The method comprises the following steps: firstly, processing a CT scanning image to construct an original three-dimensional model; thirdly, dividing a three-dimensional grid, performing airflow simulation by using computational fluid mechanics software, and judging an airflow blocking part and degree according to a simulation result so as to determine a part aiming at the operation; performing digital simulation engraving on the part to obtain a postoperative model; finally, the airflow field is repeatedly simulated in the postoperative model, an ideal scheme is selected by comparing airflow field values, by simulating the airflow fields before and after the operation, doctors can accurately determine the targeted part of the operation, different operation schemes are simulated, and individualization and refinement of the operation are improved; the symptoms of a patient are improved most ideally, and the risk of postoperative complications is reduced.

The present invention discloses a reduced graphene oxide nerve conduit and a device for promoting peripheral nerve regeneration, belonging to the technical field of tissue engineering. The raw materials for preparing the reduced graphene oxide nerve conduit of the present invention include paramagnetic materials and gels. The present invention constructs a nerve conduit that mimics the hierarchical structure of peripheral nerves, greatly improving the bionic degree and biocompatibility of the nerve conduit. The present invention uses 3D printing technology. On the premise of simulating the inherent biological components of the neurilemma, rGO is added to the composite material to enhance electrophysiological properties, and different formulations of composite materials are constructed to promote the recovery of electrophysiological disorders caused by nerve injuries. The present invention utilizes the fact that a magnetic field can be used as a non-invasive and controllable biological stimulus to guide nerve growth, and its combination with rGO can produce a synergistic effect to enhance the biological effect of rGO. The possibility of postoperative complications is reduced, and the repair effect after nerve injury repair can be increased.

Novel Stannic protoporfin compositions exhibiting high purity and other characteristics, including a novel solubility profile and visual indicators suggesting increase pharmacological activity, including enhanced antiviral activity. Also disclosed are novel processes for making Stannic protoporfin according to a process that requires fewer steps than known processes. Methods of treating patients before a scheduled insult such as surgy by administering a combination of stannic protoporfin and iron sucrose are provided. The present methods provide protection to photosensitive patients and those susceptible to post-operative complications.

This invention discloses a positioning pad for maintaining body position after total hip arthroplasty. The positioning pad includes a first support pad and a second support pad, which are fixedly connected at a 90° angle or rotatably connected via a rotating mechanism. The end of the second support pad away from the first support pad has a lifting adjustment mechanism configured to adjust the angle between the first support pad and the horizontal direction by adjusting the height of the second support pad. The first support pad has a pair of anti-rotation pillows extending along a 30° hip abduction direction. The second support pad, away from the first support pad, has a T-shaped shoe extending along a 30° hip abduction direction. This positioning pad, by providing appropriate support and comfort, ensures that the patient maintains this specific position during recovery, which not only helps reduce sciatic nerve tension and displacement, lowering the incidence of postoperative complications, but also helps promote the patient's rehabilitation process.