AI identified these 5 types of heart failure in new study: 'Interesting to differentiate'

Dr. Craig Basman discusses new life-saving technology and the variables that can predict sudden cardiac events. "Heart failure" is a catch-all term used to describe any condition in which the organ doesn't work as it's supposed to -- but one person's experience with the disease can be very different from someone else's. Researchers from the University College London (UCL) recently used machine learning -- a type of artificial intelligence -- to pinpoint five distinct types of heart failure, with the goal of predicting the prognosis for the different kinds. "We sought to improve how we classify heart failure, with the aim of better understanding the likely course of disease and communicating this to patients," said lead author Professor Amitava Banerjee from UCL in a press release announcing the study. "Currently, how the disease progresses is hard to predict for individual patients," he also said.