THEME: "Heartbeat of Change: Inspiring Solutions for Global Cardiac Health"
Founder and Promoter Innovation Health Academy, Spain
Title: The Impact of Artificial Intelligence in Cardiology
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.
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.