AIMC Topic: Heart-Assist Devices

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Machine learning, artificial intelligence and mechanical circulatory support: A primer for clinicians.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 27, 2021
Artificial intelligence (AI) refers to the ability of machines to perform intelligent tasks, and machine learning (ML) is a subset of AI describing the ability of machines to learn independently and make accurate predictions. The application of AI co...
Heart Failure Disease Management Heart-Assist Devices Decision Making, Computer-Assisted Humans Artificial Intelligence Machine Learning Algorithms
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Machine Learning Approaches to Analyzing Adverse Events Following Durable LVAD Implantation.

The Annals of thoracic surgery Nov 20, 2020
BACKGROUND: This study employed machine learning approaches to analyze sequences of adverse events (AEs) after left ventricular assist device (LVAD) implantation.
Humans Machine Learning Postoperative Complications Heart-Assist Devices
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Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Circulation. Arrhythmia and electrophysiology Jun 14, 2020
BACKGROUND: Cardiac resynchronization therapy (CRT) improves heart failure outcomes but has significant nonresponse rates, highlighting limitations in ECG selection criteria: QRS duration (QRSd) ≥150 ms and subjective labeling of left bundle branch b...
Humans Retrospective Studies Female Risk Factors Cardiac Resynchronization Therapy Heart-Assist Devices Heart Transplantation Bundle-Branch Block Middle Aged Time Factors Risk Assessment Aged Electrocardiography Disease Progression Male Treatment Outcome Diagnosis, Computer-Assisted Ventricular Function, Left Recovery of Function Unsupervised Machine Learning Stroke Volume Predictive Value of Tests Signal Processing, Computer-Assisted Heart Failure
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Improving Mortality Predictions for Patients With Mechanical Circulatory Support Using Follow-Up Data and Machine Learning.

Circulation. Genomic and precision medicine Mar 11, 2020
Machine Learning Prognosis Survival Rate Hospital Mortality Humans Follow-Up Studies Registries Heart Failure Heart-Assist Devices
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Continuous-Flow Left Ventricular Assist Devices and Valvular Heart Disease: A Comprehensive Review.

The Canadian journal of cardiology Nov 25, 2019
Mechanical circulatory support with implantable durable continuous-flow left ventricular assist devices (CF-LVADs) represents an established surgical treatment option for patients with advanced heart failure refractory to guideline-directed medical t...
Heart-Assist Devices Humans Heart Failure Heart Valve Diseases
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Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.

Circulation. Arrhythmia and electrophysiology Jun 20, 2019
BACKGROUND: Cardiac resynchronization therapy (CRT) has significant nonresponse rates. We assessed whether machine learning (ML) could predict CRT response beyond current guidelines.
Heart Transplantation Ohio Baltimore Recovery of Function Predictive Value of Tests Patient Selection Heart Failure Cardiac Resynchronization Therapy Progression-Free Survival Practice Guidelines as Topic Heart-Assist Devices Middle Aged Risk Assessment Disease Progression Time Factors Male Ventricular Function, Left Stroke Volume Echocardiography Humans Machine Learning Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Risk Factors Aged
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The Role of GDF-15 in Heart Failure Patients With Chronic Kidney Disease.

The Canadian journal of cardiology Dec 26, 2018
BACKGROUND: Growth differentiation factor-15 (GDF-15) is a stress-inducible cytokine and member of the transforming growth factor-β cytokine superfamily that refines prognostic assessment in subgroups of patients with heart failure (HF). We evaluated...
Angiotensin-Converting Enzyme Inhibitors Male Growth Differentiation Factor 15 Middle Aged Heart Failure, Systolic Humans Renal Insufficiency, Chronic Follow-Up Studies Heart Transplantation Biomarkers Glomerular Filtration Rate Blood Pressure Sex Factors Female Cholesterol Heart-Assist Devices Proportional Hazards Models Sodium Natriuretic Peptide, Brain Systole Angiotensin Receptor Antagonists
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Multi-Objective Genetic Algorithm Assisted by an Artificial Neural Network Metamodel for Shape Optimization of a Centrifugal Blood Pump.

Artificial organs Nov 18, 2018
A centrifugal blood pump is a common type of the pump used as a left ventricular assist device (LVAD) in the medical industries. The reduction of the LVADs hemolysis level to reduce the blood damage is one of the major concerns in designing of such d...
Models, Biological Humans Heart-Assist Devices Neural Networks, Computer Hemolysis Algorithms Hydrodynamics Prosthesis Design
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Pump Speed Optimization in Patients Implanted With the HeartMate 3 Device.

Transplantation proceedings Jun 30, 2018
BACKGROUND: Pump speed optimization in patients implanted with a ventricular assist device represents a major challenge during the follow-up period. We present our findings on whether combined invasive hemodynamic ramp tests and cardiopulmonary exerc...
Diagnostic Techniques, Cardiovascular Hemodynamics Exercise Test Heart Failure Heart-Assist Devices Aged Adult Male Middle Aged Humans Female
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Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

IEEE transactions on bio-medical engineering Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
Hemodynamics Monitoring, Physiologic Signal Processing, Computer-Assisted Supervised Machine Learning Hematocrit Heart-Assist Devices Viscosity Models, Cardiovascular Humans Algorithms Databases, Factual
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