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In this episode, Dr. Tina Baykaner, Dr. Peter Noseworthy, and Dr. Lior Jankelson explore how AI is helping clinicians manage growing volumes of clinical data and extract meaningful insights from ECGs and electronic health records. The conversation highlights emerging tools like AI-driven dashboards and decision support systems that can surface the right information at the right time.

The panel also discusses where AI is already influencing clinical practice — from rhythm detection to patient selection for procedures — while emphasizing that these tools are most powerful when they support, not replace, clinical judgment.

• Describe current applications of artificial intelligence in cardiovascular care, including its role in analyzing ECG data and synthesizing information from electronic health records.
• Identify emerging AI-enabled tools — such as digital dashboards and clinical decision support systems — that can help clinicians manage large volumes of patient data and surface clinically relevant insights. 
• Evaluate how AI-driven insights can support clinical decision-making in areas such as rhythm detection and patient selection for electrophysiology procedures while maintaining clinician oversight and judgment.

Article Authors

Tina Baykaner, MD, FHRS
Peter A. Noseworthy, MD, FHRS
Elaine Y. Wan, MD, FHRS 

Article Information

Read the Article

Podcast Contributors

Tina Baykaner, MD, MPH
Peter A. Noseworthy, MD, FHRS
Lior Jankelson, MD, PhD 


Podcast Contributor Disclosures

T. Baykaner
Honoraria/Speaking/Teaching/Consulting: Volta Medical, Medtronic, Pacemate, Johnson and Johnson, Abbott Medical, Boston Scientific
Research: NIH

L. Jankelson
Honoraria/Speaking/Teaching/Consulting: Biosense Webster, Inc.
Intellectual Property Rights: Alterna

P. Noseworthy
Research: NIH, National Institute on Aging, Agency for Healthcare Research and Quality, US Food and Drug Administration, American Heart Association, Medtronic,
Honoraria/Speaking/Teaching/Consulting: Optum
Royalty Income: AliveCor