8 results about "Arterial stenosis" patented technology

The invention provides a method for predicting coronary artery stenosis degree based on a tongue picture of a patient with coronary heart disease. The method comprises the steps of obtaining a data set; the data set comprises electronic medical record information, blood examination indexes, cardiac ultrasound indexes, electrocardiograms and tongue pictures of the coronary heart disease patient; dividing the preprocessed data set into a training set and a test set according to a preset proportion; building a deep learning network model; inputting the training set into the deep learning network model for training and optimization, and storing the final optimized deep learning network model; and inputting the test set into the finally optimized deep learning network model to obtain a prediction result of the coronary artery stenosis degree of the coronary heart disease patient. According to the method, the coronary artery stenosis degree is judged according to the tongue picture, the electrocardiogram, the cardiac ultrasound index and the blood examination index of the patient with the coronary heart disease, tongue picture features extracted from the tongue picture are converted into quantifiable coronary artery stenosis noninvasive screening targets, and traditional Chinese and western medicine combined diagnosis and treatment intellectualization is promoted.

This specification provides a cardiac ultrasound coronary artery stenosis diagnostic system and method based on a visual language transfer model. The system includes: a database construction module for standardizing multi-view cardiac ultrasound video sequences and radiological reports; a cardiac region of interest (ROI) standardization and labeling module for segmenting myocardial segments, obtaining ROI data, and generating a coronary artery-specific perfusion region mask as the ROI for vascular-level stenosis prediction; a visual language transfer pre-training module for semantic alignment of video data and report text using a visual language transfer model; and a downstream task prediction module for utilizing the enhanced attention mechanism of the coronary artery-specific perfusion region mask, based on the global visual features output by the visual language transfer pre-training module, to output patient-level classification results for obstructive coronary artery disease and vascular-level stenosis prediction results for LAD, LCX, and RCA.

This invention discloses a pulse-release balloon dilation pump and method for intracranial arterial stenosis. Addressing the mechanical mechanism of thin intracranial arterial walls and irregular plaques leading to axial stress accumulation and subsequent complications such as dissection and detachment, this invention adds a pulse-release control unit to a conventional pressure pump. Its core physical principle is as follows: When the balloon dilates at an irregular plaque, the intramural strain energy density distribution is uneven. Static friction constraint keeps the system in a high-energy metastable state, and the accumulated elastic potential energy ΔU continuously increases with expansion. The constraint factor λ is defined as F_required / f_max; when λ>1, the balance is unstable, and energy suddenly bursts. This invention uses periodic short-term pressure release to instantaneously decrease the contact pressure, reduce the static friction limit, and briefly raise λ to >1, actively triggering micro-slippage, releasing a small portion of the accumulated energy each time, achieving segmented and gentle energy release. Pulse parameters (amplitude, frequency, etc.) can be flexibly adjusted according to actual clinical conditions. The pulse mode offers flexible and diverse usage options. Operators can initiate it synchronously in the early stages of dilation, when risk signs appear, intervene as needed during pressure application, or combine multiple methods, allowing the operator to independently determine the operational procedure. Based on thin-film mechanics, tribology, and viscoelasticity theories, this invention is simple to operate, does not alter the clinical procedure, and effectively reduces the risk of complications during intracranial artery stenosis balloon angioplasty.

The invention provides a renal artery stenosis ultrasonic diagnosis report automatic generation method, and relates to the technical field of image data processing, and the method comprises the steps: inputting a plurality of renal artery ultrasonic images, carrying out the redundancy processing, calculating the semantic correlation between each image and a diagnosis text, and screening out a key image; performing feature extraction and enhancement on the screened key images, constructing a static medical knowledge memory matrix, and aligning enhanced visual features with the static medical knowledge memory matrix to generate knowledge alignment vectors; maintaining a dynamic memory network, and injecting the knowledge alignment vector into the dynamic memory network; and fusing the external knowledge token into a code, and finally outputting a structured renal artery ultrasonic diagnosis report based on the enhanced visual features, the external knowledge token and the dynamic memory network state. According to the method, redundant information processing and fine-grained feature extraction of the renal artery ultrasonic image are realized, and external medical knowledge is guided to generate a long ultrasonic diagnosis report which is consistent in logic and has clinical interpretability.

The application discloses a CT-FFR quantitative evaluation system based on a high-resolution photon CT scanning mode, belongs to the technical field of coronary artery stenosis, and comprises the following modules: a data acquisition and image generation module, which is used for acquiring coronary artery photon CT image data; a three-dimensional reconstruction and fluid analysis module, which is used for processing and three-dimensionally reconstructing the coronary artery photon CT image data, generating a three-dimensional geometric model of a coronary artery tree and a stenosis section, and outputting an FFR value of an arbitrary position of the coronary artery; and a CT-FFR precise quantitative evaluation module, which is used for analyzing high-resolution coronary artery photon CT image data and determining a CT-FFR precise quantitative evaluation result. The application solves the problems that the existing coronary artery function evaluation cannot be high-precision, non-invasive and efficient, and the coronary artery flow reserve fraction cannot be precisely quantified. The application can realize high-precision, non-invasive and efficient coronary artery function evaluation and can realize precise quantification of the coronary artery flow reserve fraction.

A personal carotid artery stenosis detection and stroke prevention device and a personal carotid artery stenosis detection and stroke prevention process are disclosed. The personal carotid artery stenosis detection and stroke prevention device is configured to check carotid arteries of a person for buildup of stenosis. The device is a smart device with a camera and a processing unit configured to analyze video footage captured by the camera and detect possible buildup of stenosis in one carotid artery or both carotid arteries. Analysis and detection is carried out according to the personal carotid artery stenosis detection and stroke prevention process. By detecting stenosis buildup, the device is able to inform the person of the risk of stroke, thereby helping the person to prevent a potential stroke.

The present disclosure relates generally to the treatment of subjects having aortic stenosis, or at risk of developing aortic stenosis, by administering an Alkaline Phosphatase (ALPL) inhibitor to the subject.

A method measures a perfusion wave upstroke associated with leg perfusion dynamics, the perfusion wave upstroke including two phases, an initial slow phase and a fast-rising phase, and using prolongation of the slow phase to detect a presence of arterial stenosis and to assess stenosis severity.