Heart failure (HF) is a complex condition where the heart cannot effectively pump blood to meet the body’s needs due to underlying medical issues. It is marked by recurring episodes and frequent hospitalizations. HF impacts over 64 million individuals globally and remains a leading cause of death. Early identification of HF is essential for effective treatment and better patient outcomes. Traditionally, HF diagnosis involves patient interviews, electrocardiogram (ECG), echocardiogram, and lab tests, a process that can be time-intensive and requires specialized expertise. Now a new artificial intelligence (AI)-based technology has been developed to automate heart failure detection, enabling clinicians to make quicker and more informed decisions.

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