A recent study led by teams at BIDMC and published in Nature Communications demonstrates an AI model that assesses echocardiograms to detect HFpEF. The model refines traditional diagnosis by reducing ambiguous outputs, thereby enhancing decision-making in clinical practice, much like a more precise screening tool for heart conditions.

Q&A

  • What is HFpEF?
  • How does the AI model function?
  • What is the impact on clinical workflow?
Copy link
Facebook X LinkedIn WhatsApp
Share post via...


Read full article
External validation of artificial intelligence for detection of heart failure with preserved ejection fraction