18 results about "Fracture risk" patented technology

The present invention relates to a system and a method for bone fracture risk assessment and provides for a system to predict Osteoporosis and Osteopenia and its associated fracture risk automatically from conventional chest X-ray image. The invention provides an automated digital X-ray bilateral Clavicle Radiogrammetry and its estimation of Cortical Thickness and Calculation of Cortical bone mass indices of Clavicle to predict dual Hips (Neck) Bone Mineral Density (BMD), dual Hips (Total) Bone Mineral Density (BMD) and Spine (Total) Bone Mineral Density (BMD) as measured by dual energy X-ray absorptiometry (DXA) bone densitometer and 10-year probability of both Major Bones (hip, spine, humerus or forearm)—and Hip-Osteoporotic Fracture Risk Scores. Using the same chest X-ray, an automated prediction of Osteoporosis and Osteopenia at both dual hips and spine regions and 10-year probability of both Major Bones and Hip Osteoporotic Fracture Risk using Artificial Intelligence (AI).

This invention discloses an improved geriatric nursing turning device, belonging to the field of medical device technology. It includes a support frame, with rectangular frames connected to both ends. Each rectangular frame has a support base connected to both sides of its lower end. Through the synchronous linkage design of the turning component and the side-lying support component, the turning action and cushioning support are coordinated. The turning board rotates gradually under the drive of a first drive motor, while the support plate of the side-lying support component rotates synchronously through a rotating component, forming a cushioning support angle that conforms to the patient's body. This effectively alleviates the impact of sudden changes in the center of gravity during turning, avoiding traction pain or fracture risks in elderly patients due to osteoporosis and joint degeneration. Furthermore, the cushioning pad added to the surface of the turning board further reduces skin friction and local pressure concentration. Combined with the limiting effect of the L-shaped guardrail, it prevents the patient from sliding and shifting during turning, significantly improving operational safety.

This invention provides an information processing device, an information processing method, and a program that provide users with useful information on fracture risk. [Solution] The program is a program that causes a computer to function as an information processing device that supports fracture prevention, the information processing device comprising: prediction means for predicting the fracture risk of each of the multiple subjects from the health information of the multiple subjects; and selection means for selecting subjects for fracture prevention based on the fracture risk of the multiple subjects.

The application belongs to the technical field of medical devices, and provides a single-knee prosthesis tibial tray and a mounting method, which comprises a prosthesis tibial tray body, a support wing and a support column are arranged on the prosthesis tibial tray body; the support wing is connected with the side wall of the prosthesis tibial tray body, and the support wing is embedded into the non-cutting side of the tibia; the support column is connected with the lower end of the prosthesis tibial tray body, and the support column is embedded into the tibia below the tibial bone cutting surface. The above scheme sets the support wing and the support column on the prosthesis tibial tray body, supports and fixes the prosthesis from two different positions and different directions of the side wall and the lower end, respectively, disperses and transmits the load borne by the prosthesis to the larger bone area of the tibia, effectively increases the stress area, avoids the load concentration in the local area of the tibial cutting surface, and reduces the fracture risk of the tibial cutting surface.

The application provides a multi-modal-based physiological age calculation and fracture risk data processing method, which comprises the following steps: collecting multi-source heterogeneous data of a target individual; obtaining a feature tensor set based on the multi-source heterogeneous data; processing the multi-source heterogeneous data and the feature tensor set to obtain a bone system health state latent space representation; processing the bone system health state latent space representation through a preset machine learning regression model to obtain the physiological age of the target individual; determining the age acceleration state based on the physiological age and a preset threshold; and constructing an osteoporotic fracture risk prediction model based on the above data to output an osteoporotic fracture risk probability and a post-fracture all-cause mortality risk prediction value. Through the above design, the application solves the problems of single evaluation dimension, limited application scene, single data mode and missing intervention strategy in the prior art, and cannot well meet the more accurate evaluation and intervention requirements.

Disclosed is the use of dithiocarbamate compounds in the preparation of a drug for preventing and / or treating osteoporosis. The dithiocarbamate compounds can effectively prevent and / or treat osteoporosis, improve bone mineral density in patients with osteoporosis, and reduce the risk of fractures. Moreover, the dithiocarbamate compounds, when used in combination with a calcium supplement, can achieve better preventive and / or therapeutic effects on osteoporosis.

Provided herein is a computer-implemented method including obtaining values for non-modifiable risk factors, each defining an immutable patient characteristic determined to impact a likelihood that a complication results from an arthroplasty procedure. The system obtains first candidate values for modifiable risk factors of the patient defining a mutable characteristic of the patient or the arthroplasty procedure. The first candidate values are determined to minimize the likelihood that the complication results from the arthroplasty procedure. The system obtains second candidate values for the modifiable risk factors of the patient determined to maximize the likelihood that the complication results from the arthroplasty procedure. The system determines a personalized risk interval that represents a range of modifiable risk for the patient with respect to the arthroplasty procedure including determining (i) a lower bound and (ii) an upper bound for the personalized risk interval; and providing an output indicative of the risk interval.

The present application relates to a kind of vertebral body fracture postoperative secondary fracture risk prediction model, construction method and prediction system, including the multidimensional data of collection research object;The multidimensional data of the research object meeting the requirements is standardized pre-processing;Fractured vertebral body positioning sub-network is constructed, and the output ROI of injured vertebra is input into image parameter measurement sub-network, and the output result is converted to obtain standardized image parameter set;Standardized image parameter set and clinical data are merged, and independent predictive factor is screened;Based on independent predictive factor, the risk prediction model of vertebral body fracture postoperative secondary fracture based on nomogram is constructed.The present application realizes the automatic, standardized extraction of multimodal image parameters by cascading CNN network, integrates multi-center patient baseline data, surgery-related data and postoperative nursing data, and can be used for accurately predicting the risk of secondary OVCF within 2 years after operation by feature screening and model construction;Solve the problems of poor generalization, strong subjectivity and insufficient patient compliance in the prior art.

This invention discloses a screw fracture prevention method based on vibration testing of wall-mounted products, comprising: selecting screws that meet predetermined standards; using an accelerometer to monitor the vibration value at the installation point of the wall-mounted equipment in real time; adjusting the input control of the test bench; conducting a pre-test before the formal test, and then tightening the screws a second time after the pre-test; during the formal test, monitoring the root mean square value of acceleration or the peak value of the time-domain signal at the equipment installation point in real time, judging the screw fracture risk based on the root mean square value of acceleration or the peak value of the time-domain signal, and terminating the test when a fracture risk is detected. By adjusting the input control of the test bench, the vibration input level is controlled to prevent overtesting, reducing the risk of screw fracture due to vibration overload from the source. Pre-testing and secondary tightening eliminate preload loss, reduce the risk of stress concentration, and improve the uniformity and stability of preload. This achieves early warning of fracture risk, gaining time for downtime and loss mitigation.

This invention relates to the field of fracture risk prediction technology, and particularly to a method and system for constructing a fracture risk prediction model for diabetic osteoporosis. The method involves collecting bone metabolism data and hip and spine bone density computed tomography images from diabetic patients to construct a multi-dimensional three-dimensional model of bone tissue microstructure. Based on this model, blood glucose fluctuation-bone strength mapping is performed to calculate the trabecular fragility increment and identify the pre-gradient feedback characteristics of brittle mechanical signals to obtain brittle mechanical pre-gradient feedback data. Phase shift analysis of bone stress signals is then performed on the above data to extract phase shift feature data and construct a fracture risk prediction model for diabetic osteoporosis. Finally, dynamic assessment and remote monitoring of the patient's fracture risk are conducted. This method integrates three-dimensional bone microstructure modeling, blood glucose fluctuation impact analysis, and artificial intelligence prediction, improving the early warning accuracy of diabetic osteoporotic fractures.

The application provides application of uterine mesenchymal stem cell exosomes in preparation of drugs for preventing and treating osteoporosis, and belongs to the technical field of biological medicine. The uterine mesenchymal stem cell-derived exosomes provided by the application have extremely low immunogenicity and good biological safety, avoid the immune rejection and adverse reactions possibly caused by traditional drugs or cell therapy, can be effectively targeted to the skeletal system, especially the diseased bone marrow microenvironment, and realize precise drug delivery; the exosomes not only can effectively increase bone density and improve bone microstructure, but also can improve the biomechanical strength of the skeleton, significantly reduce the risk of fracture; in addition, the preparation process is mature and stable, and as a natural cell-free therapeutic product, the exosomes avoid the ethical and safety concerns related to live cell transplantation, and provide a new strategy with great clinical application potential for the prevention and treatment of osteoporosis.

The application discloses a structure for improving the connecting strength of terminal material strips, and belongs to the technical field of connectors. The structure comprises a placing plate, a connecting piece, a second wire pressing assembly and a first wire pressing assembly. The connecting piece is connected to one end of the placing plate. One end of the first wire pressing assembly is connected to the other end of the connecting piece. One end of the second wire pressing assembly is connected to the other end of the first wire pressing assembly. The other end of the second wire pressing assembly is connected to one end of another placing plate. The placing plate, the connecting piece, the second wire pressing assembly and the first wire pressing assembly are integrally formed. The structure solves the problem of the fracture risk caused by the fact that the material strips are easily damaged and the stress is excessively concentrated at the connecting position when the material strips are overlapped in the prior art. The structural strength is significantly improved.

Disclosed is the use of dithiocarbamate compounds in the preparation of a drug for preventing and / or treating osteoporosis. The dithiocarbamate compounds can effectively prevent and / or treat osteoporosis, improve bone mineral density in patients with osteoporosis, and reduce the risk of fractures. Moreover, the dithiocarbamate compounds, when used in combination with a calcium supplement, can achieve better preventive and / or therapeutic effects on osteoporosis.

The application relates to the technical field of wire fracture prevention, in particular to a fracture prevention method and system for copper-coated steel wire stretching, which comprises the following steps: constructing a continuous state parameter sequence, extracting a stress transfer amount, a resistance release amount and a recovery delay amount based on the continuous state parameter sequence, and reconstructing a stress mapping sequence based on the stress transfer amount, the resistance release amount and the recovery delay amount; establishing a normal stretching fluctuation boundary and an abnormal accumulation boundary, obtaining a deviation value at a continuous sampling moment, comparing and analyzing the deviation value with the normal stretching fluctuation boundary and the abnormal accumulation boundary, and forming a fracture risk judgment result; and performing hierarchical control on the stretching speed in combination with the fracture risk judgment result. The application can reduce the risk accumulation state in advance before a high fracture risk is formed, so that the fracture probability is reduced, and the stability and continuity of the stretching production process are improved.

This invention discloses a method and system for early warning of hanger fracture in through-arch bridges, relating to the field of arch bridge structural health monitoring technology. The invention uses a deployed sensor array to collect real-time stress data, vibration frequency data, and environmental temperature and humidity data of the hangers. The collected data is preprocessed to remove outliers and noise. Based on the preprocessed data, the stress change rate and vibration frequency offset of the hangers are calculated, and the monitoring data is corrected using an environmental temperature and humidity compensation model. The corrected characteristic parameters are compared with preset early warning thresholds, and a multi-parameter fusion decision algorithm is used to determine the health status of the hangers, generating corresponding early warning levels and triggering early warning signals. This invention achieves accurate and real-time early warning of hanger fracture risk, effectively improving the reliability and accuracy of early warnings, providing a scientific basis for bridge maintenance, and reducing the probability of safety accidents.

This invention relates to the field of fracture risk prediction technology, and more particularly to a risk prediction system for osteoporotic vertebral compression fractures based on DES-DXA-MRI fusion. The data acquisition module acquires the patient's DES image data, DXA detection data, MRI image data, and clinical risk factor data. The data fusion module generates a multimodal fusion feature set containing both image modality features and clinical modality features. The risk prediction module calls a pre-trained multimodal fracture risk prediction model to predict the fracture risk probability, risk contribution factors, and development trends of each vertebral segment, generating a risk assessment result set. The network construction module constructs a vertebral fracture risk assessment network based on the assessment results, including the vertebral segment topology, risk factor association weights, and time-series evolution paths. The risk warning module generates a fracture risk warning instruction set and sends it to a clinical decision support platform to achieve accurate prediction and personalized intervention.

This invention relates to the field of fracture risk warning technology, specifically to a system and method for osteoporotic fracture risk warning based on bone mineral density analysis. The invention first acquires data from a benchmark database and current user data, and extracts the most matching benchmark template from the benchmark database; further, it acquires static and dynamic risk indices; further, it obtains the dynamic risk weight of each grid cell based on the duration and metabolic equivalent of different activities, and analyzes the distribution of duration proportions; finally, it merges the dynamic and static risk indices to obtain a comprehensive fracture risk index and provides risk warning. This invention, by integrating user-personalized skeletal models, static / dynamic biomechanical analysis, and daily behavioral data to construct a comprehensive fracture risk index, achieves a shift from single bone mineral density assessment to comprehensive and personalized accurate warning, effectively improving the comprehensiveness and accuracy of osteoporotic fracture risk assessment.