3 results about "Perinatal period" patented technology

The application provides a placenta perfusion and fetal development prediction method and system based on ultrasound images, and relates to the technical field of medical image analysis and diagnosis, which comprises the following steps: obtaining a placenta ultrasound image and pre-processing and quality control; segmenting the placenta region through a deep neural network, extracting multi-dimensional features of gray scale, texture, shape and blood flow; inputting a machine learning model to predict the perfusion and fetal development state; visualizing the results and key factors, combining clinical verification and generating intervention suggestions. The system comprises image processing, segmentation, prediction, visualization and verification interpretation modules. The application realizes objective quantitative evaluation, solves AI problems, forms full-chain clinical support, improves early warning accuracy, helps precise intervention and reduces perinatal risks.

This invention provides a perinatal full-cycle intelligent intervention method based on multi-source heterogeneous data fusion, comprising: step S100, simultaneously collecting subjective self-reported data from pregnant women, real-time physiological data from wearable devices, and heterogeneous clinical examination data to construct a multi-dimensional spatiotemporal data pool; step S200, establishing a unified time base axis with gestational age and absolute time as dual coordinate axes, and extracting feature vectors from the data in the multi-dimensional spatiotemporal data pool at fixed time steps; step S300, calculating the real-time global comprehensive risk index RI based on the feature vectors; step S400, when RI exceeds the first dynamic threshold T1, the system triggers a level-one warning; when RI exceeds the second dynamic threshold T2 and a preset acute-critical feature operator is identified, the system triggers a level-two warning, and simultaneously generates an admission preparation list and sends a rescue instruction to the hospital's emergency dispatch system.

The present application relates to the technical field of intelligent medical treatment and maternal and child health, and particularly relates to a pregnant woman perinatal risk intelligent evaluation method based on multi-index fusion, which acquires clinical, behavioral, environmental and real-time physiological data through multi-source acquisition and preprocessing, dynamically calculates multi-dimensional feature weights based on analytic hierarchy process and entropy weight method, uses attention mechanism and graph neural network for multi-modal fusion and risk correlation analysis, integrates data with the help of space-time alignment engine, adopts integrated learning to construct an evaluation model, carries out four-level grading early warning of low, medium, high and extremely high risk, generates and continuously optimizes personalized intervention scheme combined with case reasoning and reinforcement learning, and completes the intelligent dynamic evaluation and management closed loop of perinatal risk. The present application realizes comprehensive data integration, personalized index dynamic adjustment and intelligent risk correlation analysis of perinatal risk evaluation, effectively solves the problems of data island, rigid index and low fusion efficiency, and improves the accuracy and timeliness of the evaluation.