Unlocking the potential of artificial intelligence in sports cardiology: does it have a role in evaluating athlete’s heart?

Author:

Palermi Stefano1ORCID,Vecchiato Marco2,Saglietto Andrea34ORCID,Niederseer David5ORCID,Oxborough David6ORCID,Ortega-Martorell Sandra78,Olier Ivan78ORCID,Castelletti Silvia9ORCID,Baggish Aaron10,Maffessanti Francesco11,Biffi Alessandro12,D’Andrea Antonello13ORCID,Zorzi Alessandro14,Cavarretta Elena1516,D’Ascenzi Flavio17

Affiliation:

1. Public Health Department, University of Naples Federico II , via Pansini 5, 80131 Naples , Italy

2. Sports and Exercise Medicine Division, Department of Medicine, University of Padova , 35128 Padova , Italy

3. Division of Cardiology, Cardiovascular and Thoracic Department, ‘Citta della Salute e della Scienza’ Hospital , 10129 Turin , Italy

4. Department of Medical Sciences, University of Turin , 10129 Turin , Italy

5. Department of Cardiology, University Heart Center Zurich, University Hospital Zurich, University of Zurich , 8091 Zurich , Switzerland

6. Research Institute for Sport and Exercise Sciences, Liverpool John Moores University , Liverpool , UK

7. Data Science Research Centre, Liverpool John Moores University , Liverpool , UK

8. Liverpool Centre for Cardiovascular Science, Liverpool John Moores University , Liverpool , UK

9. Cardiology Department, Istituto Auxologico Italiano IRCCS , 20149 Milan , Italy

10. Cardiovascular Performance Program, Massachusetts General Hospital , Boston, MA 02114 , USA

11. Maria Cecilia Hospital, GVM Care&Research , Cotignola , Italy

12. Med-Ex, Medicine & Exercise, Medical Partner Scuderia Ferrari , 00187 Rome , Italy

13. Department of Cardiology, Umberto I Hospital , 84014 Nocera Inferiore , Italy

14. Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova , 35128 Padova , Italy

15. Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome , 04100 Latina , Italy

16. Mediterranea Cardiocentro , 80122 Naples , Italy

17. Department of Medical Biotechnologies, Division of Cardiology, University of Siena , 53100 Siena , Italy

Abstract

Abstract The integration of artificial intelligence (AI) technologies is evolving in different fields of cardiology and in particular in sports cardiology. Artificial intelligence 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 datasets. 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.

Publisher

Oxford University Press (OUP)

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