[Artificial intelligence in cardiology: definition, types, glossary, algorithms used - opportunities, limitations, development barriers, and challenges].
Marco Zuin, Daniela Pavan, Giuseppina Maura Francese, Arjuna Scagnetto, Cinzia Radesich, Katya Ranzato, Serafina Valente, Gian Franco Gensini, Andrea Di Lenarda
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引用次数: 0
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.
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