Related Experiment Video
Updated: May 10, 2025
Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
[Artificial intelligence in cardiology: definition, types, glossary, algorithms used - opportunities, limitations,
Marco Zuin1, Daniela Pavan2, Giuseppina Maura Francese3
1Dipartimento di Medicina Traslazionale, Università degli Studi, Ferrara - Dipartimento di Scienze Cardio-Toraco-Vascolari e Sanità Pubblica, Università degli Studi, Padova.
Abstract:
Artificial intelligence (AI) is revolutionizing cardiology, offering new opportunities to improve diagnosis, therapy, and prevention of cardiovascular diseases. By analyzing large amounts of data and supporting clinical decisions, AI can simplify modern medical complexities. However, its development is limited by methodological, ethical, and organizational obstacles. This review aims to present the potential applications of AI in cardiology in a practical and accessible manner, exploring key algorithms, opportunities, and limitations. It is crucial to address the challenges associated with AI to ensure its ethical and responsible use in support of clinical expertise while actively promoting collaboration between clinicians and information technology specialists to fully realize the potential of AI in daily cardiological practice.
