Key result
Artificial intelligence holds potential to solve cardiovascular challenges despite emerging methodological and ethical hurdles.
Why the study?
AI has potential to overcome the gap between data-rich technologies and clinical implementation, but integrating it raises methodological, logistical, educational, and ethical challenges.
Artificial intelligence holds significant potential to improve precision cardiovascular medicine through early diagnosis, imaging processing, and risk prediction, though methodological and ethical challenges remain.
AI may aid cardiovascular diagnostics and risk prediction; leaves open rigorous validation of methodological and ethical integration.
Artificial intelligence (AI) comprises a wide range of technologies and methods with heterogeneous degrees of complexity, applications, and abilities. In the cardiovascular field, AI holds the potential to fulfil many unsolved challenges, eventually translating into improved patient care. In particular, AI appears as the most promising tool to overcome the gap between ever-increasing data-rich technologies and their practical implementation in cardiovascular research, in the cardiologist routine, in the patient daily life and at the healthcare-policy level. A multiplicity of AI technologies is progressively pervading several aspects of precision cardiovascular medicine including early diagnosis, automated imaging processing and interpretation, disease sub-phenotyping, risk prediction and remote monitoring systems. Several methodological, logistical, educational, and ethical challenges are emerging by integrating AI systems at any stage of cardiovascular medicine. This review will discuss the basics of AI methods, the growing body of evidence supporting the role of AI in the cardiovascular field and the challenges to overcome for an effective AI-integrated cardiovascular medicine.
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A 2021 study conducted a review in Cardiovascular disease. Artificial intelligence was evaluated. Artificial intelligence holds the potential to fulfill many unsolved challenges in cardiovascular medicine, despite emerging methodological, logistical, educational, and ethical challenges.
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