In this session, hosted by ESC Digital Health Committee chair Martin Cowie (London, UK), the role of big data and artificial intelligence (AI) in Cardiology, and specifically in Preventive Cardiology, is illustrated.
Leonard Hofstra (Utrecht, The Netherlands) kicks off by showing potential applications of AI and machine learning in cardiovascular risk reduction. However, ‘big data’ approaches also have their limitations, as Paul Leeson (Oxford, UK) shows using examples from cardiovascular imaging. Lis Neubeck (Edinburgh, UK) presents advantages and disadvantages of the ongoing computerisation of medical professions and asks if we are “entering the era of the digital nurse”? Finally, the added value of digital support in exercise prescription is demonstrated by Dominique Hansen (Hasselt, Belgium). He highlights the EAPC Expert tool, a decision support tool with automated features but curated by human researchers.
To conclude, discussants Veronique Cornelissen (Leuven, Belgium), Claudio Gil Araujo (Rio de Janeiro, Brazil), Paul Dendale (Hasselt, Belgium) and Martijn Scherrenberg (Hasselt, Belgium) engage with the speakers in a debate on “what AI and big data can do for us”.
The session "Artificial intelligence and big data: what can they do for us?" is taking place on 16 April at 08:50 CEST online at ESC Preventive Cardiology 2021.
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Note: The content of this article reflects the personal opinion of the author/s and is not necessarily the official position of the European Society of Cardiology
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