CV podcast: Device agnostic artificial intelligence-based analysis of ambulatory ECG recordings

What it is, and how it will impact the future of cardiology

Throughout the last decade, an increasing amount of research has gone into learning more about the application of artificial intelligence in medicine, including device agnostic artificial intelligence-based analysis of ambulatory ECG recordings.

In this episode of the “Mayo Clinic Cardiovascular CME” podcast, biomedical engineer and deep learning expert Alan Kennedy, Ph.D., joins host Anthony Kashou, M.D., for an in-depth discussion about device agnostic ECG interpretation.

Specific topics of discussion include:

  • What device agnostic ECG interpretation is and how it differs from traditional approaches.
  • Artificial intelligence-based device agnostic ECG interpretation vs. traditional ECG interpretation software.
  • How the use of artificial intelligence-based ECG interpretation will affect the future of cardiology.

Listen to the full episode

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Cory Pedersen (@cpedersen)

Cory Pedersen

Cory Pedersen is a senior marketing specialist for Mayo Clinic Laboratories.