2138 results about "Fractured bone" patented technology

The invention relates to the technical field of image processing, in particular to an intelligent fracture diagnosis system based on image recognition, which comprises an image analysis module, a mode recognition module, a form analysis module, a risk assessment module and an auxiliary decision module. According to the method, skeleton gray level distribution and boundary consistency are analyzed through continuous frames of X-ray images, fracture feature extraction precision and time sequence coherence are improved, key point space distribution, symmetry standards and form proportions are fused, fracture area structured quantitative evaluation is achieved, the form change trend and abnormal offset point screening are combined, and the accuracy of fracture feature extraction is improved. The method enhances abnormal trajectory recognition precision, associates bone mineral density and form offset, calibrates high-risk time periods, improves risk assessment perspectiveness and individual adaptability, dynamically corrects output content according to an inter-frame suggestion change trend and extended feedback, enhances timeliness of diagnosis suggestions and closed-loop feedback quality, and improves risk assessment accuracy. Image evolution, structural geometry and physiological data are integrally fused, and multi-dimensional intelligent judgment of fracture recognition and evaluation is achieved.

The invention relates to the technical field of vehicle safety, in particular to a pedestrian body model chest injury risk curve adjusting method. Comprising the following steps: analyzing the relationship between the speed and the chest injury risk, and drawing a first curve between the vehicle speed and the injury risk based on accident statistical data; fitting data of a rib cortical bone uniaxial stretching material mechanics experiment; constructing a vehicle-pedestrian side impact simulation experiment matrix under different working conditions, and generating a simulation sample number; extracting the rib strain of the human body model in the sampling model, calculating the fracture probability of a single rib of the chest of the human body model, and then calculating the maximum simple injury probability of the specified chest of the human body model; fitting the relationship between the vehicle speed in the simulation model and the chest injury risk of the human body model, and drawing a second curve between the vehicle speed in the sample and the chest injury risk of the pedestrian model; and constructing an objective function according to the difference between the first risk curve and the second risk curve. According to the technical scheme, the accuracy of accident damage prediction can be improved.

The invention discloses an intelligent auxiliary fracture monitoring system for orthopedic nursing, which comprises the following steps that: the system acquires mechanical parameters, movement track data and biological signals of a fracture patient through a multi-mode sensor, and intelligently analyzes the data by using a deep learning algorithm; generating a fracture state diagnosis result and recovery trend prediction data; the low-power-consumption wireless communication module realizes real-time transmission of diagnosis data and supports remote system parameter adjustment; the personalized nursing scheme generation module generates a rehabilitation plan, a load adjustment strategy and an auxiliary device configuration scheme through an optimization algorithm based on the patient biomechanical model and the diagnosis result; and the adaptive feedback adjustment module dynamically adjusts a data acquisition strategy and processing parameters to ensure the real-time response capability of the system to the state of the patient. The system is suitable for the technical field of intelligent auxiliary monitoring, and can realize real-time monitoring, intelligent diagnosis and personalized rehabilitation guidance of fracture patients.

The invention discloses an in-vitro bionic mechanical testing system and method for spinal skeletal muscles, and particularly relates to the field of mechanical testing, and the system comprises a bionic construction module, a finite element modeling module, a multi-axis mechanical loading module, an iterative calculation module and a correction module; through modular design, the system comprises a vertebral body unit, an intervertebral disc simulation assembly and a skeletal muscle simulation unit, each assembly is customized according to anatomical features of a human body, a finite element modeling module is utilized to generate a three-dimensional model, a multi-directional mechanical load is applied, and response data is collected; experimental data are input into the finite element model for iterative calculation, so that stress distribution, a strain field and kinematic deviation are compared; if the error exceeds a preset threshold value, the model parameters and the physical parameters are corrected until the experiment and simulation results converge; and finally, based on the optimized finite element model, predicting a failure mechanism of the spinal skeletal muscle under a complex load, and evaluating the risks of fracture, hairline fracture, nucleus pulposus protrusion and muscle strain.

The invention relates to the technical field of medical data processing, in particular to a postmenopausal osteoporosis patient medical data analysis method and system, and the method comprises the following steps: extracting a bone mineral density measurement value and a bone metabolism index concentration based on patient bone mineral density data, bone metabolism index data and fracture event records; according to the method, through combination of covariance matrix calculation, feature value and feature vector extraction and revealing of deep relevance between data, fine description of bone mineral density and metabolism index changes is achieved, state probability values, fracture records and drug use data are subjected to normalization weighting processing, and an optimized posterior state distribution matrix is generated; the accuracy and comprehensiveness of data fusion are improved, a key dynamic feature set is extracted through screening and accumulation operation, the pertinence and efficiency of analysis and normalization and time interval prediction of a trend curve are optimized, a quantitative result of the bone mineral density change trend and the fracture risk is formed, and high-precision support is provided for illness state assessment and personalized analysis.

An invention relates to a system (100) for classifying presence of fracture and body parts on musculoskeletal X-ray. The system (100) is based on an artificial intelligence for targeting fracture classification and body part. Further, the system comprises a data collection module (205) and a fracture classification module (206). Furthermore, the fracture classification module (206) may comprise a classification model (207) and a segmentation model (208). The classification model (207) may be configured to generate a classification score and the segmentation model (208) may be configured to generate segmentation score. The fracture classification module (206) may be configured to generate 10 a fracture score (403) and a body part score (404). The fracture classification module (206) may be configured to compare said scores (403, 404) against threshold values to classify fracture presence and classify body parts. The system (100) may enhance the efficiency and accuracy of fracture diagnosis in X-ray images.

Systems and techniques may include enhancing production of a natural resource from a reservoir in the earth.By pumping and circulating a material through a reservoir, where the material interacts with proppant or formation material in fracture zones, the interaction reduces permeability in an overproductive fracture zone and redirects flow to an underproductive fracture zone. Through this self-correcting feedback mechanism, flow redistributes more uniformly across multiple fracture zones over time, resulting in more even permeability distribution and improved reservoir performance. The systems and techniques enable passive treatment using chemical solutions that create self-correcting permeability changes, leading to more controlled and efficient resource recovery from subsurface reservoirs.

A telescopic intramedullary nail for the treatment of fractures or deformations of long bones, such as for example in the case of osteogenesis imperfecta or pseudoarthrosis may include a hollow stem and a rod telescopically coupled inside said hollow stem. The hollow stem may include, at a free distal end, an anchor tip configured to be internally fixed inside a distal portion of a long bone of a patient, without protruding from said long bone. The rod may include a free proximal end arranged to be fixed to a proximal site of said long bone.

Provided are compositions comprising a HKUOT-S2 protein, at least one peptide according to at least one of SEQ ID NO: 81-97, or a protein comprising an amino acid sequence according to at least one of SEQ ID NO: 81-97. Methods of osteogenesis are provided, including, for example, methods of enhancing bone repair, modulating polarization of macrophages with proinflammatory and anti-inflammatory activity and bone resorption of osteoclasts, and methods of treating inflammatory diseases, spinal cord injury, liver and kidney diseases, cardiovascular diseases, diabetes, post-menopausal syndrome, infertility, or hematopoietic diseases, or enhancing wound healing.

The invention discloses a modeling method and system for regulating and controlling bone healing through dynamic stress stimulation, which are applied to the technical field of bone healing, and the method comprises the following steps: establishing a geometric model of a fracture part; performing mesh generation on the geometric model to generate finite element models of bones and callus; assigning values to the material attributes in the callus at the initial moment; applying dynamic load constraint to the top end of the cortical bone based on the finite element model, and establishing a bone healing model; calculating attributes of new materials in tissue cells, and judging whether the attributes of the new materials reach a preset healing standard or not through the bone healing model; if the preset healing standard is reached, simulation is completed, otherwise, iterative simulation is carried out by dynamically adjusting mechanical parameters until the preset healing standard is reached, and final bone healing data are output. Through the bone healing model, loading parameters are adjusted in real time according to simulation data, and the accuracy and reliability of bone healing simulation are improved.

The invention discloses an image recognition system for constructing osteoporotic vertebral fracture healing based on artificial intelligence, and particularly relates to the technical field of orthopedic treatment, which comprises a data preprocessing module for extracting and optimizing data from an original medical image. According to the method, the advantage of discipline crossing is developed, a recognition system on medical imaging is developed based on deep learning, the advantage that the recognition system can discover detail features and hidden rules which cannot be found by human beings is utilized, and then a large amount of structured data is utilized to automatically learn and train visual feature expression of abstract data, so that the clinical missed diagnosis rate is reduced, and the clinical diagnosis efficiency is improved. The artificial intelligence architecture is trained by a rigorous and scientific means, so that the artificial intelligence architecture has clinical experience and knowledge of high-age dominant doctors and is popularized in local hospitals to achieve an auxiliary diagnosis effect, the difference of medical differentiation is reduced, the technical and experience defects of local medical personnel are made up, and the technical and experience defects of the local medical personnel are overcome. The aim of improving the definite diagnosis rate of diseases and reducing the missed diagnosis rate is one of the purposes of the invention.

A computer-implemented method for determining fracture roughness from a core is described. In examples, a drill core is scanned to obtain core images, and natural fractures in the core images are identified using sequential filtering. The identified natural fractures in the core images are digitized and used to obtain a fracture profile comprising a pair of sinusoids corresponding to the top wall and the base wall of the identified natural fractures. A best fitting sinusoid of the fracture profile is determined and used to calculate at least one statistical estimator. The calculated statistical estimator is used to calculate a joint roughness coefficient.

Devices and methods for treating bone fractures involving a micromotional unit (6) that produces reciprocating displacement between two fracture fragments (1) to thereby apply controllable micromotion to a fracture site.

An apparatus, system, and method may be used to replace a natural or artificial articular surface of a joint, and to repair a bone that is associated with the joint. In some embodiments, the apparatus, system, and method may include a joint replacement prosthesis with a prosthetic articular surface, a support structure securable to the bone, and a first attachment interface. The system may also include a bone plate with a bone engagement surface securable to the bone on either side of a fracture formed in the bone, or a damaged area of the bone. The bone plate may include a second attachment interface that is attachable to the first attachment interface of the joint replacement prosthesis in order to couple the bone plate to the joint replacement prosthesis.

The invention relates to a hip joint prosthesis peripheral fracture steel plate cable binding and fixing device which comprises a head portion at the near end and a body portion at the far end, and the head portion and the body portion are integrally arranged. The inner surfaces of the head part and the body part are arc-shaped curved surfaces which are tightly attached to the outer surface of the thighbone of a human body; the head is of an anatomical structure matched with the physiological appearance of the outer side face of the greater trochanter of the femur. The body part is of an anatomical structure matched with the physiological shape of a thighbone body at the proximal end of the thighbone; at least one clamping hook is arranged at the near end of the head part, and the clamping hook is in an anatomical radian shape attached to the outer side of the top end of the major trochanter; and the body part is provided with a plurality of lock hole structures. The device is placed on the outer side face of the femur with the vertex of the greater trochanter as a mark; the device is suitable for patients who fail in internal fixation in a proximal femur fracture operation and need revision and suffer from fracture around a femur prosthesis after a joint replacement operation, at least one clamping hook is specially arranged at the proximal end of the head, a fracture block can be grabbed through the clamping hook, and reduction failure is avoided.

The invention discloses a method and a device for acquiring parameters of an internal fracture fixation system, and relates to the technical field of medical data processing. Constructing a digital model of the skeleton and the surrounding soft tissue based on the three-dimensional scanning image by utilizing a biomechanical principle; using a machine learning algorithm to train the historical case data, and generating a preliminary internal fixed parameter prediction model; applying the preliminary parameters to a digital model for simulation verification, and optimizing the internal fixed parameters to an optimal combination; performing personalized adjustment on the simulation result according to individual differences of patients and experience of clinical doctors; the state of the internal fixation system is monitored in real time in the operation process, and parameter fine adjustment is conducted according to feedback; the fracture healing condition is regularly evaluated after the operation, and the internal fixation parameters are adjusted according to the evaluation result. Through personalized and precise internal fixation parameter setting, a good mechanical repair environment is created for a fracture part, bone cell proliferation and ordered growth of callus are promoted, and the healing time is effectively shortened.

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

The invention discloses an ultrasonic auxiliary system for automatic recognition and diagnosis of emergency fracture, and relates to the technical field of acoustic fracture detection. The auxiliary system comprises an ultrasonic image acquisition module used for acquiring ultrasonic image data of a fracture position of a patient; the processing module is used for processing the ultrasonic image data and outputting identification data; and the diagnosis decision module is used for outputting diagnosis data based on the identification data of the processing module. Through the arrangement of the region focusing analysis unit, resource allocation is optimized and calculated by gradually reducing the analysis range, the primary detection layer quickly eliminates intact regions and outputs primary fracture region marks, the intermediate classification layer performs soft tissue reaction quantitative analysis on the primary fracture regions and generates marked regions, and the advanced positioning layer processes the marked regions. The resource consumption is reduced in combination with sub-pixel-level analysis, and the architecture enables system resources to be quickly concentrated in a fracture area, so that the processing time efficiency of fracture recognition is reduced.

The invention relates to the field of image processing, in particular to an artificial intelligence auxiliary analysis system based on orthopedic images, which comprises an image acquisition module, a grade determination module, a fracture detection module, a treatment detection module and a processing module. The fracture degree and the corresponding healing condition can be more accurately judged by comprehensively analyzing the initial bone image and the post-treatment bone image in combination with factors such as the age and the gender of a patient, the diagnosis accuracy is greatly improved, the bone healing rate is obtained by comparing the initial bone fracture proportion and the post-treatment bone fracture proportion, and the diagnosis accuracy is improved. Reliable data support is provided for evaluating the treatment effect, diagnosis and evaluation time can be greatly shortened, the overall treatment efficiency can be improved, whether the treatment effect is good or not is judged according to clinical data, suggestions about whether an operation needs to be conducted again or rehabilitation guidance needs to be given, the risk of human judgment errors can be reduced, and the treatment efficiency is improved. And the accuracy of diagnosis and treatment decisions is improved.

The invention relates to the technical field of image simulation modeling, in particular to a medical instrument visual simulation method based on data recognition. The method comprises the following steps: carrying out rotation angle calibration on a medical instrument, and carrying out rotation angle X-ray projection data acquisition to obtain multi-view projection image sequence data; performing three-dimensional skeleton model optimization according to the multi-view projection image sequence data to generate an optimized skeleton scanning three-dimensional model; performing potential fracture probability processing on the multi-view projection image sequence data based on the optimized skeleton scanning three-dimensional model to generate potential fracture probability data; and carrying out fracture area marking on the optimized bone scanning three-dimensional model through the potential fracture probability data, and carrying out part stress analogue simulation to obtain a three-dimensional visual fracture report. According to the method, accurate marking of the fracture area and visual report generation are realized through reconstruction of the three-dimensional space model of the scanned image, and the accuracy and efficiency of fracture detection are remarkably improved.

The invention discloses a titanium alloy wire woven belt, a processing technology and application of the titanium alloy wire woven belt, the titanium alloy wire woven belt comprises a plurality of mutually woven titanium alloy wires, the titanium alloy wires are woven to form a circular woven belt with a quasi-circular cross section, or the titanium alloy wires are woven to form a flat woven belt with a flat cross section, and the titanium alloy wires are woven to form the titanium alloy wire woven belt. And the diameter of the titanium alloy wire is controlled between 0.05 mm and 0.20 mm. The invention has the following advantages and effects: the scheme utilizes a new mechanical structure, and has the effects that the circular woven belt or the flat woven belt can be selected according to the actual fracture site, and the woven belt has higher mechanical property and is not easy to break.

The present disclosure provides a method and system for overlay presentation of a skeletal image based on augmented reality, relating to the technical field of smart medical systems. The method includes obtaining fracture imaging data for a fracture region of a patient, the fracture imaging data including a CT image, an X-ray image, and a light-field image; parsing a ray model corresponding to the light-field image, the ray model providing spatial propagation information of a light in the fracture region of the patient; determining a multimodal fusion feature corresponding to the fracture imaging data based on the ray model and a feature fusion network; reconstructing a three-dimensional model of a fracture part based on the multimodal fusion feature; and aligning and calibrating the reconstructed three-dimensional model of the fracture part with the fracture region of the patient in an actual surgical scene.

The utility model provides a posterior cruciate ligament stopping point fracture fixing device which comprises a fixing steel plate, a threaded sleeve and a fixing screw, and a traction hole for a first traction line to penetrate through is formed in one corner of the fixing steel plate; one end of the threaded sleeve is rotatably arranged in the middle of the fixed steel plate, the other end of the threaded sleeve is provided with a threaded hole, and the bottom of the threaded hole is connected with a second pull wire; the fixing screw is in threaded fit with the threaded hole in the threaded sleeve, and the center of the fixing screw is provided with a threading hole for the second pull wire to penetrate through. The device can be implanted under arthroscope micro-creation, and has the advantages of small trauma and less bleeding compared with the traditional open implantation; meanwhile, compared with a loop-shaped steel plate, the bone block is fixed through the pulling force of the screw, the force is larger and more stable, and healing of posterior cruciate ligament dead point avulsion fracture is facilitated; the device is simple in overall structure, low in manufacturing cost, stable in structure and high in popularization value.

Method and apparatus of automatic fracture detection from imaging scans are disclosed. A innovative manifold view combing advantages of earlier approaches while avoiding the limitations of these approaches is coupled with a deep learning based fracture detection model. Ribs and spine from a three-dimensional scan are segmented, rib centerlines and vertebra center landmarks are detected and labeled. Three-dimensional position coordinates corresponding to the received data are mapped to a defined two-dimensional manifold plane followed by interpolation and sampling techniques to generate a two-dimensional manifold slice and corresponding mapping function. A three-dimensional visualization of the rib cage is generated from a plurality of manifold slices. A trained fracture prediction model receives the plurality of manifold slices and generates a revised stack of two-dimensional manifold slices showing predicted fractures. The predicted fractures may be shown in the two-dimensional manifold slice or mapped back to the image space of the original three-dimensional scan.

The invention provides a device for constructing an intervertebral disc degeneration model by using mouse simulation, and belongs to the technical field of medical research. Comprising a mounting base plate, a supporting rod is connected to the middle of the top of the mounting base plate, a top seat is fixedly connected to the top of the supporting rod, and a ring seat is fixedly connected to the inner side of the top seat. The body clamping mechanism can accurately clamp an animal body, is matched with an electric push rod to realize bending or unfolding of the body, and is matched with the limb positioning mechanism to improve the experiment suitability and assist in simulating the pathological process of human intervertebral disc degeneration, the limb positioning mechanism fixes the limbs of the animal through antiskid plates, and the device can adapt to animals with different sizes and is high in practicability. The rotating shaft design avoids animal limb fracture, the angle adjusting assembly and the arc-shaped displacement assembly enable the animal limbs to flexibly swing and move up and down, the convenience and the adjusting adaptation performance of the device are improved, and more accurate data and reliable experiment conditions are provided for lumbar vertebra pathological research on the whole.

The invention relates to the technical field of medical apparatus and instruments, in particular to a multi-dimensional adjustable traction device for pediatric orthopedic nursing, which comprises a bottom plate and further comprises a shaking assembly connected to the bottom plate; the bed frame is connected to the output end of the rocking assembly, an upper lying plate and a lower lying plate which can rotate are connected to the bed frame, and the same mattress is placed on the upper lying plate and the lower lying plate; and the traction mechanism comprises a fixing assembly and a traction assembly. The traction mechanism and the fixing assembly are arranged to limit the legs of a pediatric patient, injury and pain caused by leg movement of the patient are relieved when the patient is nursed, the direction of traction force is the same as the direction of a fracture line, and a good treatment effect is guaranteed; the bed frame is driven by the shaking assembly to slightly shake front and back, the mood of a child patient is pacified, the metal block which is magnetically locked is kept stable relative to the bed frame, and traction stability is kept.

Devices, systems, and methods for promoting healing and stability for bone fractures. The bone stabilization system may include a variety trauma and / or reconstruction plates and one or more bone fasteners configured to secure the plate to bone. The bone plates may be used for the fixation of fractures and fragments in forefoot, midfoot, and hindfoot applications. The foot fracture plating may be used to create a rigid construct with permanent fixation to promote primary healing and stability.

The invention discloses a management device for patient leg fracture nursing, and belongs to the field of orthopedic trauma, the management device comprises a bed body, an arranged fracture management mechanism is used in cooperation with a fracture patient, the legs of the patient are placed on the top surface of a bottom plate, and the shanks and thighs of the patient are supported through a thigh supporting plate and a shank supporting plate respectively; after thighs and shanks of a patient are bound and bound together with the thigh supporting plate and the shank supporting plate through belt buckles and binding belts respectively, the position of the traction plate is adjusted according to the position of a bone needle part after fracture puncture at the thigh proximal end, the femoral shaft, the knee joint or the ankle joint of the shank of the patient, and a bone needle is placed in one bone needle clamping groove; after the traction plate is fixed on the L-shaped adjusting plate through the second screw hole knob, the L-shaped adjusting plate is pushed to move towards the right side by rotating the first screw hole knob on the fixed threaded rod, and the compression spring is forced to perform retraction operation, so that the aim of performing bone traction on a patient is fulfilled.

The invention discloses a three-section thighbone retrograde intramedullary nail, relates to the field of medical instruments, and provides a detachable and assembled three-section thighbone retrograde intramedullary nail aiming at the problems that an existing thighbone medial condyle retrograde intramedullary nail is poor in adaptability and insufficient in fixing strength. A main nail body of the intramedullary nail is composed of a head section, a middle section and a tail section, original spiral nested structures are adopted at the joints of the sections, and the three sections are tightly connected to form the complete and high-strength intramedullary nail by matching with the hollow interior design and penetrating a titanium cable into a medullary cavity for tightening and automatically rotating and matching the head section and the middle section of the main nail body. And medullary cavity structures and fracture types of different patients can be accurately matched. Compared with a traditional intramedullary nail, the intramedullary nail has the advantages that mounting convenience and structural stability are remarkably improved, intraoperative adjustment time can be shortened, the risk of injury to a medullary cavity of a patient is reduced, and an innovative solution is provided for personalized treatment of distal femur fractures.

The invention discloses an artificial intelligence assisted femoral neck fracture screw path planning system and method, and the system comprises an image collection module, a structure recognition module, a path planning module, a decision feedback module and a robot execution module, and all the modules achieve the linkage through data and control signal interfaces. Structured and data-driven design reference is provided, unnecessary attempts and repeated operations are reduced, the path design efficiency and standardization level are improved, and the implementation mode has good adaptability, can be compatible with existing multi-brand orthopedic robot platforms, is especially suitable for intelligent screw path planning in femoral neck fracture fixation, and has wide application prospects. The method has remarkable advantages in the aspects of technical innovation and industrial application, and is expected to improve the screw implantation precision, shorten the time consumption in the operation, reduce the track adjustment frequency, reduce the radiation exposure risk, and promote the deep development and clinical transformation of the AI-assisted intelligent path control technology in the field of orthopedic operations.