AI distinguishes 5 types of heart failure in groundbreaking study.

Researchers from the University College London used machine learning to identify five distinct types of heart failure, with the goal of predicting the prognosis for each subtype. The five types of heart failure identified were early onset, late onset, atrial fibrillation, metabolic, and cardiometabolic. For each type of heart failure, the researchers determined the likelihood of the person dying within a year of diagnosis. The prognosis varied widely for the five subtypes. The research team also developed an app for physicians that would enable them to determine which subtype of heart failure a patient has.