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From Algorithm to Action: Integrating AI Effectively Into Cardiology Practice

Clinical Thought

As shared in the “Heart-ificial Intelligence” Think Tank, learn key insights for effectively integrating artificial intelligence (AI) in your cardiology practice, including the ethical standards that must be met for all AI models used in healthcare.

Released: December 11, 2025

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Provided by Clinical Care Options, LLC

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Supporters

Supported by an educational grant from BridgeBio Pharma, Inc.

BridgeBio Pharma, Inc.

Target Audience

This activity is intended for cardiologists, nurse practitioners, physician associates, pharmacists, and other HCPs involved in the care of patients with cardiovascular disease.

Learning Objectives

Upon completion of this activity, participants should be able to:

  • Discuss the capabilities and limitations of AI to support clinical decision-making in cardiovascular diagnostics

  • Summarize key features of the current uses of AI for cardiovascular disease detection and risk stratification

  • Assess best practices for integrating AI into cardiovascular patient care and workflows 

Disclosure

Program Director

Evangelos K. Oikonoumou, MD, DPhil

Assistant Professor
Section of Cardiovascular Medicine
Department of Internal Medicine
Yale School of Medicine
New Haven, Connecticut

Evangelos K. Oikonomou, MD, DPhil: royalties or patent beneficiary: Caristo Diagnostics Ltd; consultant: Ensight-AI Inc.

Primary Author

Pierre Elias, MD: researcher: Edwards, Janssen, Pfizer; consultant/advisor/speaker: GE.

Sammy Elmariah, MD, MPH: researcher: Abbott, Medtronic.

Francisco Lopez-Jimenez, MD, MSc, MBA: consultant/advisor/speaker: Anumana, Mediwhale, Novo Nordisk.

Louise Sun, MD, SM, FRCPC, FAHA, has no relevant financial relationships to disclose.