Artificial Intelligence Hub
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ESC Artificial Intelligence Hub

Responsibly integrating AI into cardiovascular research and clinical practice

AI: A Trusted Partner For The Future 

Artificial Intelligence (AI) isn’t just a buzzword—it’s a transformative tool that’s shaping the world around us.
While it might feel new to some, AI has been evolving for decades and is already woven into many aspects of our daily lives. 


How Will AI Shape the Future of Cardiology?

AI is already making a difference in healthcare and cardiology, and its potential is just beginning to unfold. From transforming diagnosis to enabling personalised treatments, AI promises to bring faster, more accurate care tailored to each patient’s unique needs.

This is an exciting time, but with great potential comes the responsibility to ensure AI is safe, reliable, and patient-centered. A thoughtful, evidence-based approach is essential to harness its full benefits.

That’s why we’re taking the lead by establishing the Digital Cardiology and Artificial Intelligence (DCAI) Committee. This dedicated team is focused on building a clear roadmap for integrating AI into cardiology, ensuring these innovations enhance care while upholding the highest standards for every patient.

 

Together, we’re shaping a future where AI not only advances cardiology but also empowers clinicians and improves lives. By focusing on critical areas such as data quality, evaluation frameworks, stakeholder engagement, and continuous collaboration, the ESC aims to lead the way in the safe and effective use of AI in cardiology.

Prof. Folkert W. Asselbergs, Chair of the DCAI Committee

 

Find out more about the AI Roadmap in this European Heart Journal CardioPulse article.

Trending - Latest AI News

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Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study

The Anatomical vs. Stress teSting decIsion Support Tool (ASSIST) improves outcomes in coronary artery disease (CAD) testing compared to random selection. This study compared provider-driven testing strategies with ASSIST recommendations in two cohorts: a US hospital system (Yale) and the UK Biobank. Factors such as younger age, female sex, Black race, and diabetes history were linked to lower alignment with ASSIST. Over 4.9 to 5.4 years of follow-up, those aligned with ASSIST had lower risks of acute myocardial infarction or death. Post hoc analysis of anatomical-first testing in the PROMISE trial showed ASSIST’s higher accuracy in detecting CAD. These results highlight the value of algorithm-driven strategies in improving CAD diagnosis and prognosis.

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Editor's choice by Nico Bruining
European Heart Journal – Digital Health editor
#EHJDigital

AI Resources and Activities

AI and Digital Health Summit

21 – 22 November 2025

Join global leaders, healthcare innovators, and technologists who are at the forefront of digital transformation.

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EHJ - Digital Health

The European Heart Journal Digital Health  covers the whole sphere of cardiovascular medicine, from all perspectives of digital health.

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ESC TV Today

Prof. Martin Cowie talks about AI in cardiology and what we can expect.

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AI resources

Congress presentations, podcasts, webinars and more in ESC 365

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Strategic Think Tank

Presentations from experts at the ESC’s Cardiovascular Round Table

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Research activities

AI4HF and Datatools 4 heart are two EU-funded research projects the ESC is part of.

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Masterclass in AI and Cardiovascular Health

Deepen your understanding of data-driven approaches to CV care and explore the impact of data science on your daily practice. Spaces are limited.

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ESC Working Group on e-Cardiology

The community for basic, translational and clinical scientists who are at the forefront of CV health innovation using computational, information and communication technologies.

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