Some patients with advanced heart failure can benefit from the support of a continuous-flow left ventricular assist device (CF-LVAD) to sustain heart function. However, despite improvements in managing complications associated with the use of CF-LVADs, stroke continues to be a major adverse event after the implantation of the device.
Machine learning assists in predicting risk of stroke
