Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project

Boriani, G, Mei, DA, Lip, GYH, Bonini, N, Vitolo, M, Imberti, JF, Saendig, N, Bøgsted, M, Vesteghem, C, Hose, K, Sagi, T, Johnsen, S, Eriksen, M, Nielsen, PB, Brøndum, RF, Dahl, SC, Rasmussen, TS, Ortuno, FM, Roldan, V, Rivera Caravaca, JM et al (2024) Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project. European Heart Journal. ISSN 0195-668X

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Item Type:	Article
Additional Information:	This is a pre-copyedited, author-produced version of an article accepted for publication in European Heart Journal following peer review. The version of record Giuseppe Boriani, Davide Antonio Mei, Gregory Y H Lip, the ARISTOTELES Consortium , on behalf of, Artificial intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities: the ARISTOTELES project, European Heart Journal, 2024;, ehae792, https://doi.org/10.1093/eurheartj/ehae792 is available online at: https://doi.org/10.1093/eurheartj/ehae792
Uncontrolled Keywords:	1102 Cardiorespiratory Medicine and Haematology; 1103 Clinical Sciences; Cardiovascular System & Hematology
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions:	Computer Science and Mathematics Engineering Nursing and Advanced Practice
Publisher:	Oxford University Press (OUP)
Date of acceptance:	1 November 2024
Date Deposited:	13 Dec 2024 10:20
Last Modified:	18 Dec 2024 14:17
DOI or ID number:	10.1093/eurheartj/ehae792
URI:	https://researchonline.ljmu.ac.uk/id/eprint/25088

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