AIMC Topic: Heart-Assist Devices
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Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.
The International journal of artificial organs
Jun 6, 2025
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompatibility to minimize blood damage. This study presents a multi-objective optimization framework inte...
Development of a Self-Deploying Extra-Aortic Compression Device for Medium-Term Hemodynamic Stabilization: A Feasibility Study.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Dec 27, 2024
Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow can lead to severe complications and increased mortality. Conditions like decompensated heart failure (HF) and cardiogenic shock require rapid and eff...
A Machine Learning-derived Risk Score Improves Prediction of Outcomes After LVAD Implantation: An Analysis of the INTERMACS Database.
Journal of cardiac failure
Oct 31, 2024
BACKGROUND: Significant variability in outcomes after left ventricular assist device (LVAD) implantation emphasize the importance of accurately assessing patients' risk before surgery. This study assesses the Machine Learning Assessment of Risk and E...
Soft robotic artificial left ventricle simulator capable of reproducing myocardial biomechanics.
Science robotics
Sep 25, 2024
The heart's intricate myocardial architecture has been called the Gordian knot of anatomy, an impossible tangle of intricate muscle fibers. This complexity dictates equally complex cardiac motions that are difficult to mimic in physical systems. If t...
Physiological control for left ventricular assist devices based on deep reinforcement learning.
Artificial organs
Sep 17, 2024
BACKGROUND: The improvement of controllers of left ventricular assist device (LVAD) technology supporting heart failure (HF) patients has enormous impact, given the high prevalence and mortality of HF in the population. The use of reinforcement learn...
Enhancing Heart Failure Care: Deep Learning-Based Activity Classification in Left Ventricular Assist Device Patients.
ASAIO journal (American Society for Artificial Internal Organs : 1992)
Sep 4, 2024
Accurate activity classification is essential for the advancement of closed-loop control for left ventricular assist devices (LVADs), as it provides necessary feedback to adapt device operation to the patient's current state. Therefore, this study ai...
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...
Characterizing advanced heart failure risk and hemodynamic phenotypes using interpretable machine learning.
American heart journal
Feb 7, 2024
BACKGROUND: Although previous risk models exist for advanced heart failure with reduced ejection fraction (HFrEF), few integrate invasive hemodynamics or support missing data. This study developed and validated a heart failure (HF) hemodynamic risk a...
Magnetohydrodynamic levitation for high-performance flexible pumps.
Proceedings of the National Academy of Sciences of the United States of America
Jul 11, 2022
We use magnetohydrodynamic levitation as a means to create a soft, elastomeric, solenoid-driven pump (ESP). We present a theoretical framework and fabrication of a pump designed to address the unique challenges of soft robotics, maintaining pumping p...
Machine Learning-Based Prediction of Myocardial Recovery in Patients With Left Ventricular Assist Device Support.
Circulation. Heart failure
Dec 24, 2021
BACKGROUND: Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study...
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