CV Podcast: The use of artificial intelligence to improve electrocardiogram algorithms


From clinical trial to clinical use

Among other things, cardiac specialists at Mayo Clinic use electrocardiogram (ECG) algorithms enhanced by artificial intelligence (AI) to better read and interpret patient ECGs and to assess ejection fraction, atrial fibrillation, and aortic stenosis. Before these algorithms are put into clinical use, however, they must first pass a rigorous clinical trial process to determine exactly where and how they can be best used in patient care, if at all.

In this episode of Mayo Clinic’s “Cardiovascular CME” podcast, cardiac electrophysiologist and director of Mayo Clinic’s Heart Rhythm and Physiological Monitoring Laboratory, Peter Noseworthy, M.D., joins host Anthony Kashou, M.D., to discuss how he and others at Mayo Clinic measure each model’s success.

Specific topics of discussion include:

  • Current use of AI-augmented ECG algorithms at Mayo Clinic.
  • Steps to ensure AI-augmented ECG algorithms reach clinical practice.
  • What the clinical trials design looks like at Mayo Clinic.
  • Models that have performed well and models that have not.

Listen to the full episode here.

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Cory Pedersen (@cpedersen)

Cory Pedersen