AIMC Topic: Hemodynamics

Clear Filters Showing 31 to 40 of 173 articles

Functional Near-Infrared Spectroscopy-Based Computer-Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter-Hemispheric Asymmetry in Prefrontal Hemodynamic Responses.

Depression and anxiety Jul 14, 2024
BACKGROUND: Functional near-infrared spectroscopy (fNIRS) is being extensively explored as a potential primary screening tool for major depressive disorder (MDD) because of its portability, cost-effectiveness, and low susceptibility to motion artifac...
Depressive Disorder, Major Spectroscopy, Near-Infrared Prefrontal Cortex Young Adult Hemodynamics Humans Convolutional Neural Networks Adult Diagnosis, Computer-Assisted Neural Networks, Computer Deep Learning Male Female Functional Neuroimaging Middle Aged
View on PubMed DOI

Image2Flow: A proof-of-concept hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data.

PLoS computational biology Jun 20, 2024
Computational fluid dynamics (CFD) can be used for non-invasive evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and time-consuming simulation. This study aims to train a deep ...
Proof of Concept Study Blood Flow Velocity Hydrodynamics Models, Cardiovascular Imaging, Three-Dimensional Computational Biology Magnetic Resonance Imaging Pulmonary Artery Humans Neural Networks, Computer Hemodynamics Deep Learning
View on PubMed DOI

Physics-informed neural networks for parameter estimation in blood flow models.

Computers in biology and medicine Jun 5, 2024
BACKGROUND: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ...
Hemodynamics Blood Flow Velocity Humans Aorta Neural Networks, Computer Models, Cardiovascular Computer Simulation
View on PubMed DOI

Enhancing classification accuracy of HRF signals in fNIRS using semi-supervised learning and filtering.

Progress in brain research May 31, 2024
This paper introduces a novel approach to enhance the classification accuracy of hemodynamic response function (HRF) signals acquired through functional near-infrared spectroscopy (fNIRS). Leveraging a semi-supervised learning (SSL) framework alongsi...
Signal Processing, Computer-Assisted Brain Humans Supervised Machine Learning Spectroscopy, Near-Infrared Hemoglobins Female Algorithms Oxyhemoglobins Adult Prefrontal Cortex Male Hemodynamics Brain Mapping
View on PubMed DOI

The intelligent Impella: Future perspectives of artificial intelligence in the setting of Impella support.

ESC heart failure May 23, 2024
AIMS: Artificial intelligence (AI) has emerged as a potential useful tool to support clinical treatment of heart failure, including the setting of mechanical circulatory support (MCS). Modern Impella pumps are equipped with advanced technology (Smart...
Forecasting Hemodynamics Heart Failure Heart-Assist Devices Humans Artificial Intelligence
View on PubMed DOI

Impact Exploration of Spatiotemporal Feature Derivation and Selection on Machine Learning-Based Predictive Models for Post-Embolization Cerebral Aneurysm Recanalization.

Cardiovascular engineering and technology May 23, 2024
PURPOSE: To enhance the performance of machine learning (ML) models for the post-embolization recanalization of cerebral aneurysms, we evaluated the impact of hemodynamic feature derivation and selection method on six ML algorithms.
Embolization, Therapeutic Intracranial Aneurysm Machine Learning Female Aged Male Middle Aged Spatio-Temporal Analysis Hemodynamics
View on PubMed DOI

Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Artificial Intelligence Prognosis Female Reproducibility of Results Humans Risk Assessment Severity of Illness Index Hemodynamics Time Factors Risk Factors Aged Male Middle Aged Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Rupture, Spontaneous Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
View on PubMed DOI

The effects of different positions on lower extremity hemodynamics during robot-assisted laparoscopic radical prostatectomy for prostate cancer.

BMC urology Apr 20, 2024
PURPOSE: This study aimed to investigate the effects of two different positions on lower extremity hemodynamics during robot-assisted laparoscopic radical prostatectomy (RARP) for prostate cancer.
Robotic Surgical Procedures Prostatectomy Pneumoperitoneum Lower Extremity Robotics Prostatic Neoplasms Laparoscopy Humans Male Hemodynamics
View on PubMed DOI

The value of AI-based analysis of fractional flow reserve of volume computed tomographically detected coronary artery stenosis with regard to their hemodynamic relevance.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Apr 17, 2024
PURPOSE: The aim of our work was to demonstrate the importance of artificial intelligence-based analysis of fractional flow reserves of computed tomographically detected coronary artery stenosis with regard to their hemodynamic relevance in patients ...
Fractional Flow Reserve, Myocardial Aged Sensitivity and Specificity Male Middle Aged Artificial Intelligence Hemodynamics Retrospective Studies Coronary Angiography Humans Tomography, X-Ray Computed Computed Tomography Angiography Female Coronary Stenosis
View on PubMed DOI

Deep-learning-based real-time individualization for reduce-order haemodynamic model.

Computers in biology and medicine Apr 15, 2024
The reduced-order lumped parameter model (LPM) has great computational efficiency in real-time numerical simulations of haemodynamics but is limited by the accuracy of patient-specific computation. This study proposed a method to achieve the individu...
Humans Female Adult Male Hemodynamics Deep Learning Models, Cardiovascular
View on PubMed DOI
Popular Topics
Recent Journals