Artificial Intelligence in Heart Failure: The New Role of the Cardiologist

Introduction

Artificial intelligence (AI) is no longer a distant promise – it has become a reality in medical practice. Tools capable of interpreting tests, stratifying risk, suggesting diagnoses, and even proposing management strategies have generated growing enthusiasm among healthcare professionals. In this rapidly expanding technological landscape, an inevitable question arises: what will be the role of the medical specialist in the age of AI?

Heart failure (HF) represents one of the best models for this discussion. It is one of the diseases with the greatest clinical impact worldwide, affecting approximately 64 million people.^, Despite advances in understanding its pathophysiology and in treatment options, HF remains a condition with high morbidity and mortality, with substantial residual risk even when disease-modifying therapies are implemented.^– Much of this challenge lies in the complexity of its pathophysiological mechanisms, as well as the heterogeneity of clinical manifestations, disease progression, and associated comorbidities.^,

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