Artificial intelligence to improve cardiovascular population health

With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applications in enhancing cardiovascular health at the p...

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Bibliographic Details
Main Authors: Meder, Benjamin (Author) , Asselbergs, Folkert W. (Author) , Ashley, Euan A. (Author)
Format: Article (Journal)
Language:English
Published: 21 May 2025
In: European heart journal
Year: 2025, Volume: 46, Issue: 20, Pages: 1907-1916
ISSN:1522-9645
DOI:10.1093/eurheartj/ehaf125
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1093/eurheartj/ehaf125
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Author Notes:Benjamin Meder, Folkert W. Asselbergs, and Euan Ashley

MARC

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520 |a With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthcare delivery and improve population health. This review provides a state-of-the-art overview of recent advancements in AI technologies and their applications in enhancing cardiovascular health at the population level. From predictive analytics to personalized interventions, AI-driven approaches are increasingly being utilized to analyse vast amounts of healthcare data, uncover disease patterns, and optimize resource allocation. Furthermore, AI-enabled technologies such as wearable devices and remote monitoring systems facilitate continuous cardiac monitoring, early detection of diseases, and promise more timely interventions. Additionally, AI-powered systems aid healthcare professionals in clinical decision-making processes, thereby improving accuracy and treatment effectiveness. By using AI systems to augment existing data sources, such as registries and biobanks, completely new research questions can be addressed to identify novel mechanisms and pharmaceutical targets. Despite this remarkable potential of AI in enhancing population health, challenges related to legal issues, data privacy, algorithm bias, and ethical considerations must be addressed to ensure equitable access and improved outcomes for all individuals. 
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