HRS 2025 Abstract Highlight: #HRStv host Deepthy Varghese, DNP, ACNP, FNP sat down with John Kundrick, MD, MPH to discuss Predicting All-Cause Hospitalizations Using Machine Learning Applied to Wearable Fitness Tracker Step Data. Want to explore more content? Catch the full video versions and more on our channel – [<a href= "https://www.youtube.com/@HeartRhythmTV">Heart Rhythm TV</a>].

HRS 2025 Abstract Highlight: #HRStv host Deepthy Varghese, DNP, ACNP, FNP sat down with John Kundrick, MD, MPH to discuss Predicting All-Cause Hospitalizations Using Machine Learning Applied to Wearable Fitness Tracker Step Data. Want to explore more content? Catch the full video versions and more on our channel – [Heart Rhythm TV].

HRS 2025 Abstract Highlight: #HRStv host Deepthy Varghese, DNP, ACNP, FNP sat down with John Kundrick, MD, MPH to discuss Predicting All-Cause Hospitalizations Using Machine Learning Applied to Wearable Fitness Tracker Step Data. Want to explore more content? Catch the full video versions and more on our channel – [<a href="https://www.youtube.com/@HeartRhythmTV" rel="noopener noreferrer">Heart Rhythm TV</a>].

Episode 39: Using Machine Learning Applied to Wearable Fitness Tracker Step Data

Welcome to the Heart Rhythm TV Pod — your go-to source for the latest in cardiac electrophysiology. As the official news and media outlet of the Heart Rhythm Society (HRS), Heart Rhythm TV (HRStv) brings you expert insights, breaking news, and in-depth coverage of major events like the annual Heart Rhythm meeting and the innovation-focused HRX meeting. With a global audience spanning 98 countries on YouTube, we're now bringing the conversation to your favorite podcast platform—anytime, anywhere.

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Episode 39: Using Machine Learning Applied to Wearable Fitness Tracker Step Data

Episode 39: Using Machine Learning Applied to Wearable Fitness Tracker Step Data