Heart failure: Is there any role for Artificial Intelligence?

Key Points

• The aim is to evaluate the effectiveness of artificial intelligence in diagnosing and managing heart failure.
• Reviewed current literature on AI applications in heart failure.
• Analyzed predictive models and their accuracy in clinical settings.
• Assessed AI's role in identifying biomarkers and improving patient outcomes.
• AI-based models showed improved diagnostic accuracy compared to traditional methods.
• AI applications can enhance the identification of at-risk patients and tailor treatments.
• Machine learning techniques correlated with better clinical outcomes, demonstrating potential benefits in management strategies.