BACKGROUND Patients with advanced heart failure and cardiogenic shock (CS) often
require temporary circulatory support (TCS) as a bridge to durable ventricular assist devices …

Background Warm ischemia followed by blood reperfusion is associated with reduced
myocardial contractility. Circulatory death (CD) hearts are maintained by machine perfusion …

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 …

Background: Cognition has been found to influence risk of stroke and death for a variety of
patient groups but this association has not been examined in heart failure (HF) patients …

To reduce adhesions after left ventricular assist device (LVAD) implantation, pericardial
closure using an expanded polytetrafluoroethylene (ePTFE) patch has been suggested …

We sought to develop a contemporary risk assessment tool for use in pediatric ventricular
assist device (VAD) candidates to estimate risk for mortality on the device using readily …

Objective Both the right ventricular (RV) contractile function and pulmonary arterial (PA)
pressure influence clinical outcomes in patients supported with left ventricular assist devices …

ABSTRACT BACKGROUND Statistical risk models for durable left ventricular assist device
(LVAD) implantation inform candidate selection, quality improvement, and evaluation of …

One of the most complex and difficult decisions for a heart failure (HF) team to wrestle with is
the timing of placing a left ventricular assist device (LVAD) versus waiting for a donor heart …

This chapter provides a guide for mechanical circulatory support (MCS) clinicians on
relevant aspects of artificial intelligence (AI) and machine learning (ML). It reviews the …