AIMC Topic: Models, Cardiovascular

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In Vitro Study of the Precision and Accuracy of Measurement of the Vascular Inner Diameter on Computed Tomography Angiography Using Deep Learning Image Reconstruction: Comparison With Filtered Back Projection and Iterative Reconstruction.

Journal of computer assisted tomography May 13, 2025
OBJECTIVE: This study aimed to compare the performance of deep learning image reconstruction (DLIR) with that of standard filtered back projection (FBP) and adaptive statistical iterative reconstruction V (ASiR-V) for measurement of the vascular diam...
Algorithms Computed Tomography Angiography Models, Cardiovascular Deep Learning Radiographic Image Interpretation, Computer-Assisted Phantoms, Imaging
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A Neural Network Finite Element Trileaflet Heart Valve Model Incorporating Multi-Body Contact.

International journal for numerical methods in biomedical engineering Apr 1, 2025
The use of patient-specific computational modeling of cardiovascular diseases has become increasingly popular to improve patient standard of care. Most simulation approaches currently utilize the finite element method (FEM), which is very well establ...
Finite Element Analysis Models, Cardiovascular Heart Valves Neural Networks, Computer Humans Computer Simulation
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ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime.

PloS one Jan 1, 2025
High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions. However, these methods often face challenges of high computational c...
Humans Neural Networks, Computer Machine Learning Stress, Mechanical Aortic Dissection Hydrodynamics Models, Cardiovascular Computer Simulation Hemodynamics Peripheral Arterial Disease
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Refined matrix completion for spectrum estimation of heart rate variability.

Mathematical biosciences and engineering : MBE Aug 2, 2024
Heart rate variability (HRV) is an important metric in cardiovascular health monitoring. Spectral analysis of HRV provides essential insights into the functioning of the cardiac autonomic nervous system. However, data artefacts could degrade signal q...
Humans Machine Learning Heart Rate Electrocardiography Models, Cardiovascular Algorithms Models, Statistical Uncertainty Reproducibility of Results Signal Processing, Computer-Assisted Autonomic Nervous System Deep Learning
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Proteomics-Enabled Deep Learning Machine Algorithms Can Enhance Prediction of Mortality.

Journal of the American College of Cardiology Oct 19, 2021
BACKGROUND: Individualized risk prediction represents a prerequisite for providing personalized medicine.
Follow-Up Studies Models, Cardiovascular Deep Learning Cohort Studies Proteomics Female Aged Male Cardiovascular Diseases Middle Aged Risk Assessment Humans Neural Networks, Computer Algorithms
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'Rise of the machines': the next frontier in individualized medicine.

Cardiovascular research Aug 29, 2021
Diffusion of Innovation Therapy, Computer-Assisted Models, Cardiovascular Humans Machine Learning Wearable Electronic Devices Forecasting Precision Medicine Telemedicine Diagnosis, Computer-Assisted
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Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.

Proceedings of the National Academy of Sciences of the United States of America Jun 15, 2021
Despite their great promise, artificial intelligence (AI) systems have yet to become ubiquitous in the daily practice of medicine largely due to several crucial unmet needs of healthcare practitioners. These include lack of explanations in clinically...
Deep Learning Electrocardiography Algorithms Cardiology Humans Time Factors Physicians Artificial Intelligence Uncertainty Statistics as Topic Reproducibility of Results ROC Curve Models, Cardiovascular
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Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.

The journal of trauma and acute care surgery Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
Risk Assessment ROC Curve Blood Transfusion Emergency Medical Services Humans Models, Cardiovascular Triage Artificial Intelligence Feasibility Studies Trauma Centers Young Adult Wounds, Gunshot Adult Hemorrhage Male Shock Thoracic Injuries Injury Severity Score Retrospective Studies Female
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Artificial intelligence modeling of vascular calcification.

Acta biochimica et biophysica Sinica Dec 11, 2020
Humans Models, Cardiovascular Artificial Intelligence Vascular Calcification
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Inverse mechano-electrical reconstruction of cardiac excitation wave patterns from mechanical deformation using deep learning.

Chaos (Woodbury, N.Y.) Dec 1, 2020
The inverse mechano-electrical problem in cardiac electrophysiology is the attempt to reconstruct electrical excitation or action potential wave patterns from the heart's mechanical deformation that occurs in response to electrical excitation. Becaus...
Myocytes, Cardiac Electricity Models, Cardiovascular Computer Simulation Deep Learning Action Potentials
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