AI for the Failing Heart: From Early Detection to Remote Monitoring and Predictive Analytics

As healthcare shifts toward proactive interventions, AI holds the promise of detecting heart failure before overt symptoms appear. In this session, experts will discuss how machine learning and big-data analytics can arm clinicians with real-time insights to intervene at the earliest sign of HF decompensation. Attendees will gain an understanding of predictive models, novel monitoring tools, and the challenges involved in implementing such technologies on a broad scale.