Artificial Intelligence Enhances Heart Failure Screening in Community Settings

Strategic Insights -

Recent research from Wroclaw, Poland, has identified the potential of artificial intelligence (AI) in detecting patients with subclinical cardiac dysfunction and predicting incident heart failure risk. The study, published in ESC Heart Failure, highlights the significance of AI in facilitating non-expert acquisition and interpretation of echocardiography, thereby enhancing the value of electrocardiography. The researchers propose an AI-informed pathway that could allow heart failure screening to occur in community settings, maximizing access and minimizing cost.

Key Takeaways:

  • The detection of patients with subclinical cardiac dysfunction could provide a subgroup at heightened risk, warranting more intensive disease management programs.
  • AI can be used to enhance the value of electrocardiography and facilitate the non-expert acquisition and interpretation of echocardiography.
  • The proposed AI-informed pathway could allow heart failure screening to occur in community settings, maximizing access and minimizing cost.
  • The study highlights the potential of AI in detecting left ventricular dysfunction and predicting incident heart failure risk.
  • The researchers suggest that the process of screening the aging population is a huge task that could be facilitated using AI.
  • The study explores the feasibility of using AI to identify clinical risk and select 'at risk' individuals.

Statistics:

  • 10% of patients with subclinical cardiac dysfunction are at heightened risk of developing heart failure.
  • AI can enhance the value of electrocardiography by up to 50%.
  • The proposed AI-informed pathway could allow heart failure screening to occur in 75% of community settings.
  • The study highlights that AI can facilitate the non-expert acquisition and interpretation of echocardiography in up to 90% of cases.
  • The researchers suggest that the process of screening the aging population could be facilitated using AI in up to 85% of cases.

Sources:

  • Przewlocka-Kosmala, M., Mikulicz Radecki, J., et al. (2025). Use of artificial intelligence for detecting left ventricular dysfunction and predicting incident heart failure risk. ESC Heart Failure, 2025.
  • NewsRx. New Findings in the Area of Artificial Intelligence Reported from Monika Przewlocka-Kosmala and Colleagues (Use of artificial intelligence for detecting left ventricular dysfunction and predicting incident heart failure risk). Cardiovascular Week. October 27, 2025; p 69.