25/05/2026
Dr. Alicia Uijl discusses the growing burden of heart failure in an ageing, multimorbid population and how increasing clinical complexity is driving the need for new analytical approaches.
The session highlights the role of artificial intelligence in leveraging large volumes of routinely collected electronic health record data to better understand heart failure phenotypes, risk, and outcomes in clinical practice.
She further outlines key machine learning approaches, including supervised and unsupervised learning, and their applications in risk prediction, decision support, and data-driven classification in heart failure care.
Watch on demand: https://lnkd.in/gcND4mea