Remote monitoring in heart failure: artificial intelligence and the use of remote speech analysis to detect worsening heart failure events.

Globally, heart failure (HF) is a leading cause of hospitalization and mortality, primarily among the elderly, and is estimated to affect more than 64 million individuals. Hospitalization for HF represents the largest part of overall medical care expenditures for HF, and hospitalization for HF is associated with high rates of in-hospital and post-discharge morbidity and mortality. Patients discharged from the hospital with a diagnosis of acute decompensated HF have an increased risk for clinical worsening, rehospitalization, and mortality.