9^th World Congress On Cardiology and Heart Failure

Artificial Intelligence in Heart Failure Diagnosis

Artificial intelligence is increasingly used to improve the early detection, diagnosis, and monitoring of heart failure. AI models analyze imaging, electrocardiograms, and patient data to enhance precision.

Key Highlights:

• Predictive analytics: AI predicts the risk of decompensation and hospitalization.
• Imaging interpretation: Echocardiograms and MRIs are analyzed more accurately and faster.
• Personalized care: AI provides individualized treatment recommendations based on risk scores.
• Remote monitoring: Smart devices track vitals and alert clinicians to changes.
• Decision support: AI assists physicians in optimizing therapy and predicting outcomes.

AI integration in heart failure care improves diagnostic accuracy and enables timely, personalized interventions.