AIMC Topic: Pulsatile Flow
Clear Filters Showing 1 to 10 of 10 articles
Role of physics-informed constraints in real-time estimation of 3D vascular fluid dynamics using multi-case neural network.
Computers in biology and medicine
Mar 26, 2025
Numerical simulations of fluid dynamics in tube-like structures are important to biomedical research to model flow in blood vessels and airways. It is further useful to some clinical applications, such as predicting arterial fractional flow reserves,...
Decoding pulsatile patterns of cerebrospinal fluid dynamics through enhancing interpretability in machine learning.
Scientific reports
Aug 1, 2024
Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in diseases diagnosis. The changes of the phase-contrast magnetic resonance imaging (PC-MRI) signal formed by the velocity of flowing CSF are represented as...
Validation of the first-trimester machine learning model for predicting pre-eclampsia in an Asian population.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Apr 26, 2024
OBJECTIVES: To evaluate the performance of an artificial intelligence (AI) and machine learning (ML) model for first-trimester screening for pre-eclampsia in a large Asian population.
Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid-structure interaction.
Biomechanics and modeling in mechanobiology
Jun 17, 2023
An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic indicators are a prerequisite for the application of interventional robots. The current hemodynamic...
Proper Orthogonal Decomposition Analysis Reveals Cell Migration Directionality During Wound Healing.
Annals of biomedical engineering
Jul 11, 2022
A proper orthogonal decomposition (POD) order reduction method was implemented to reduce the full high dimensional dynamical system associated with a wound healing cell migration assay to a low-dimensional approximation that identified the prevailing...
Contactless facial video recording with deep learning models for the detection of atrial fibrillation.
Scientific reports
Jan 7, 2022
Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (...
Skin
Regional Blood Flow
Atrial Fibrillation
Heart Rate
Video Recording
Humans
Image Processing, Computer-Assisted
Face
Prospective Studies
Photoplethysmography
Pulsatile Flow
Female
Electrocardiography
Reproducibility of Results
Diagnosis, Computer-Assisted
Predictive Value of Tests
Aged
Deep Learning
Aged, 80 and over
Time Factors
Male
Middle Aged
Discrimination of vascular aging using the arterial pulse spectrum and machine-learning analysis.
Microvascular research
Sep 8, 2021
Aging contributes to the progression of vascular dysfunction and is a major nonreversible risk factor for cardiovascular disease. The aim of this study was to determine the effectiveness of using arterial pulse-wave measurements, frequency-domain pul...
Supervised learning methods for pathological arterial pulse wave differentiation: A SVM and neural networks approach.
International journal of medical informatics
Oct 31, 2017
OBJECTIVE: The main goal of this study was to develop an automatic method based on supervised learning methods, able to distinguish healthy from pathologic arterial pulse wave (APW), and those two from noisy waveforms (non-relevant segments of the si...
Penetration of an artificial arterial thromboembolism in a live animal using an intravascular therapeutic microrobot system.
Medical engineering & physics
Feb 5, 2016
The biomedical applications of wireless robots are an active area of study. In addition to moving to a target lesion, wireless locomotive robots can deliver a therapeutic drug for a specific disease. Thus, they hold great potential as therapeutic dev...
A Unique Signature of Cardiac-Induced Cranial Forces During Acute Large Vessel Stroke and Development of a Predictive Model.
Neurocritical care
Aug 1, 2020
BACKGROUND: Cranial accelerometry is used to detect cerebral vasospasm and concussion. We explored this technique in a cohort of code stroke patients to see whether a signature could be identified to aid in the diagnosis of large vessel occlusion (LV...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823