9th Edition

World Heart Congress

THEME: "Heartbeat of Change: Inspiring Solutions for Global Cardiac Health"

img2 17-18 Nov 2025
img2 Dubai, UAE (Collaboration with the Armenian Cardiologists Association)
Joan Cornet Prat

Joan Cornet Prat

Founder and Promoter Innovation Health Academy, Spain

Title: The Impact of Artificial Intelligence in Cardiology


Biography

A technical engineer and psychology graduate, heworked in a hospital for several years before serving as the mayor of ManresaCity Hall (Spain) from 1979 to 1986. He served as a senior civil servant at theEuropean Commission in Brussels, directing EURES European employment servicesand acting as Director for Governmental Cooperation with North African andMiddle Eastern countries. The Government of Catalonia appointed him as GeneralSecretary of the Department of Health in 2004 and entrusting him with the taskof establishing "BIOCAT." Later, he was the founder and CEO of theTicSalut Foundation from 2007 to 2013 and held the position of Director at the"mHealth Competence Centre" on Mobile World Capital Barcelona.Founder and CEO of InnoHealth Academy. Ambassador of ECHAlliance. Founder and boardmember of the Association Salud Digital.

Abstract

Artificial Intelligence (AI) is revolutionizing cardiology, offering unprecedented opportunities for early diagnosis, precision treatment, and improved patient management. This presentation explores the transformative role of AI in cardiovascular care, highlighting its applications, challenges, and future potential.

The scope of this talk encompasses AI-driven innovations such as deep learning algorithms for image interpretation, predictive analytics for risk stratification, and natural language processing in clinical decision support. Methods used in these advancements include machine learning models trained on large-scale datasets, real-time data integration from wearable devices, and AI-assisted workflow optimization in clinical settings.

Key results demonstrate that AI enhances diagnostic accuracy in echocardiography, electrocardiography (ECG) interpretation, and coronary artery disease detection. A comparative analysis of AI-assisted versus traditional diagnostic methods illustrates improvements in sensitivity, specificity, and efficiency (Table 1). Additionally, Figure 1 showcases an AI-enabled echocardiographic segmentation, highlighting the precision achieved in automated cardiac imaging.

Despite these advancements, challenges such as data privacy, algorithm bias, and the need for regulatory frameworks remain. The discussion will address strategies for ethical AI integration, ensuring that human expertise remains central to decision-making.

AI is reshaping cardiology, offering new tools for clinicians to enhance patient outcomes. However, its successful implementation requires collaboration between cardiologists, data scientists, and policymakers. By harnessing AI responsibly, the field can move toward a more personalized and efficient cardiovascular care system.