In this episode Sandy Vance sits down with Dr. Kenneth Stein, Senior Vice President and Global Chief Medical Officer at Boston Scientific, to explore how artificial intelligence is revolutionizing cardiology from diagnosis to treatment.

Dr. Stein shares how Boston Scientific is tackling one of healthcare’s biggest challenges: too much data and too little insight. From AI-driven heart monitors that detect dangerous rhythms before doctors can see them, to tools that democratize expert-level cardiac imaging, to predictive algorithms that warn clinicians of heart failure weeks before hospitalization. Tune in to hear how AI is not replacing doctors but empowering them, why clinical rigor still matters in the age of algorithms, and what it means for the future of cardiology.

In this episode, they talk about:

• What it means to have too much data
• Three key use cases for AI in cardiology
  • Scaling expertise with BeatLogic
  • Democratizing Expertise with Avigo Plus
  • Predicting outcomes with Heartlogic
• AI transforms raw data into actionable insights that improve patient outcomes.
• Radiology and cardiology are examples of how AI enhances (not replaces) medical professionals.
• Clinicians who embrace AI will outperform those who don’t.
• Ongoing education on AI’s role, limits, and evidence base is crucial for healthcare providers.

A Little About Kenneth:

Kenneth Stein is senior vice president and global chief medical officer at Boston Scientific. In this role, he has oversight for the clinical trials, medical safety and medical affairs functions and is responsible for ensuring a cohesive clinical community of practice across the company. Prior to Boston Scientific, Stein held the position of associate director of clinical cardiac electrophysiology at Weill Cornell Medical Center and associate professor of medicine at Cornell University. Stein is a graduate of Harvard College (in economics) and New York University School of Medicine. He is widely published, having authored more than 160 papers in the peer reviewed medical literature.