Use of Artificial Intelligence in Improving Outcomes in Heart Disease

Published: February 28, 2024

computer generated heart image
  • Artificial intelligence (AI) is rapidly being adapted to improve quality of patient care in all areas of medicine. Although there are few widely adopted applications of AI to cardiovascular (CV) and stroke care, AI has the potential to improve patient outcomes within a wide range of cardiovascular disease.
  • AI has advanced in several areas, including CV imaging, electrocardiography, in-hospital monitoring, implantable and wearable devices, DNA sequencing and analysis technologies, and electronic health records (EHR).
  • This statement discusses these applications of AI to CV medicine and patient care. Challenges addressed include the need for larger datasets, disparities built into algorithms that may reflect bias, accountability and reliability of tools, cybersecurity, and the ethics of using patient data.

Use of Artificial Intelligence in Improving Outcomes in Heart Disease

In this video, Antonis Armoundas, PhD, principal investigator at Massachusetts General Hospital and Associate Professor of Medicine at Harvard Medical School and Jennifer Hall, PhD, FAHA, Chief of Data Science at the American Heart Association, discuss the recent scientific statement on the rapid growth of artificial intelligence (AI) in healthcare, the challenges in implementation, and best practices for use. The statement outlines a new framework for implementing artificial intelligence (AI) in cardiovascular disease monitoring and prevention.