Palermi, S, Vecchiato, M, Saglietto, A, Niederseer, D, Oxborough, D, Ortega-Martorell, S, Olier, I, Castelletti, S, Baggish, A, Maffessanti, F, Biffi, A, D’Andrea, A, Zorzi, A, Cavarretta, E and D’Ascenzi, F (2024) Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart? European Journal of Preventive Cardiology. ISSN 2047-4873

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Abstract

The integration of artificial intelligence (AI) technologies is evolving in different fields of cardiology and in particular in sports cardiology. AI offers significant opportunities to enhance risk assessment, diagnosis, treatment planning, and monitoring of athletes. This article explores the application of AI in various aspects of sports cardiology, including imaging techniques, genetic testing and wearable devices. The use of machine learning and deep neural networks enables improved analysis and interpretation of complex data sets. However, ethical and legal dilemmas must be addressed, including informed consent, algorithmic fairness, data privacy, and intellectual property issues. The integration of AI technologies should complement the expertise of physicians, allowing for a balanced approach that optimizes patient care and outcomes. Ongoing research and collaborations are vital to harness the full potential of AI in sports cardiology and advance our management of cardiovascular health in athletes.

Item Type:	Article
Additional Information:	This is a pre-copyedited, author-produced version of an article accepted for publication in European Journal of Preventive Cardiology following peer review. The version of record tefano Palermi, Marco Vecchiato, Andrea Saglietto, David Niederseer, David Oxborough, Sandra Ortega-Martorell, Ivan Olier, Silvia Castelletti, Aaron Baggish, Francesco Maffessanti, Alessandro Biffi, Antonello D’Andrea, Alessandro Zorzi, Elena Cavarretta, Flavio D’Ascenzi, Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart?, European Journal of Preventive Cardiology, 2024;, zwae008 is available online at https://doi.org/10.1093/eurjpc/zwae008
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RC Internal medicine > RC1200 Sports Medicine
Divisions:	Computer Science & Mathematics Sport & Exercise Sciences
Publisher:	Oxford University Press (OUP)
SWORD Depositor:	A Symplectic
Date Deposited:	15 Jan 2024 10:50
Last Modified:	26 Jan 2024 11:45
DOI or ID number:	10.1093/eurjpc/zwae008
URI:	https://researchonline.ljmu.ac.uk/id/eprint/22271

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