Predictive Analytics and Cardiovascular Disease: Improving Global Health in the Age of AI episode artwork

EPISODE · Dec 5, 2025 · 56 MIN

Predictive Analytics and Cardiovascular Disease: Improving Global Health in the Age of AI

from The Healthcare STARcast · host TopHealth Media

Welcome to Episode 7 of The Healthcare STARcast! In this insightful conversation, host Subbu Ramalingam is joined by Dr. Pierantonio Russo, Chief Medical Officer at Eversana, a renowned cardiac surgeon, and global pioneer in predictive analytics for cardiovascular health.Together, they dive into the critical intersections of cardiovascular disease prevention, machine learning, and the quest to bend the cost curve while improving patient outcomes both in the US and globally. You’ll hear firsthand how Dr. Pierantonio Russo transitioned from leading heart surgery programs in Italy and the United States to advancing value-based care through data science and AI-driven risk stratification at major health plans.Discover why obesity and visceral fat are at the heart of the cardio-kidney-metabolic syndrome, how modern predictive models are helping identify high-risk patients before costly complications hit, and why multidisciplinary care teams, supported by clinical and social determinants of health, are essential for effective interventions.This episode also explores how machine learning is bridging the gap between accuracy and clinical trust, the real-world impact of remote patient monitoring, and lessons learned from healthcare innovation in India’s private hospital sector. Plus, Dr. Russo shares personal stories from his work in pediatric heart surgery and offers practical advice for maintaining health and longevity.Whether you’re a physician, health plan leader, or just passionate about healthcare’s future, this episode is packed with fresh perspectives, actionable insights, and a glimpse into the hospital of the future. Tune in and get inspired by the possibilities at the intersection of technology, data, and compassionate care!Timestamps:00:00 Managing Rising Heart Failure Costs05:55 "Advancing Predictive Analytics in Healthcare"07:38 "Improving Care with Predictive Analytics"13:13 Cardiac-Kidney-Metabolic Syndrome Advances16:27 Managing Heart Failure Costs Efficiently18:32 "Heart Failure Cost Drivers Analysis"24:07 AI in Healthcare Collaboration27:29 AI-Assisted Learning for Physicians29:45 Predictive Model Impact on Healthcare33:03 Reducing Costs and Improving Outcomes36:34 Precision Medicine for Heart Failure40:04 Hospital Operations: Three Core Areas43:56 Healthcare Costs and Low Value Care47:55 "Life-Saving Aid for Children"50:32 "Parking Guard's Unexpected Connection"53:35 Innovation, AI, and Mediterranean Diet56:11 Grateful for the InvitationShow Website - https://healthcarestarcast.com/Subbu Ramalingam - Show Host - Linkedin - https://www.linkedin.com/in/subburamalingam/FloWise Leadership - https://flowiseleadership.com/ViVega Business Services - https://www.vivega.co/ATTAC Consulting Group - https://www.attacconsulting.com/Media Partner - TopHealth - https://tophealth.care/“Disclaimer: Informational only. Not medical advice. Consult your doctor for guidance.”

Welcome to Episode 7 of The Healthcare STARcast! In this insightful conversation, host Subbu Ramalingam is joined by Dr. Pierantonio Russo, Chief Medical Officer at Eversana, a renowned cardiac surgeon, and global pioneer in predictive analytics for cardiovascular health. Together, they dive into the critical intersections of cardiovascular disease prevention, machine learning, and the quest to bend the cost curve while improving patient outcomes both in the US and globally. You’ll hear first...

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Predictive Analytics and Cardiovascular Disease: Improving Global Health in the Age of AI

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This episode was published on December 5, 2025.

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Welcome to Episode 7 of The Healthcare STARcast! In this insightful conversation, host Subbu Ramalingam is joined by Dr. Pierantonio Russo, Chief Medical Officer at Eversana, a renowned cardiac surgeon, and global pioneer in predictive analytics for...

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