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; Vivani, L; Anastasia, S; Christofidis, V; Pajic, A; Martínez, A; Roca, A; Vicente, A; Asensio, JM; Sepúlveda, S; Holm, S; Henriksen, H; Ivarrud, E; Sethre, EA; Larsen, JH; Dan, A; Dan, A; Lionis, C; Kochiadakis, G; Anastasaki, M; Marketou, M; Chlouverakis, G; Galenianos, M; Vasilaki, I; Kritis, P; Ceseri, M; Gorini, M; Orso, F; Lucci, D; Maggioni, A; Lorimer, A; Paubert, G; Collin, S; De Palma, C; Martins Gonçalves, LM; Gervasio, S; Costa, I; Breysse, MM; Rodríguez, IS; Fernández, RT; Munoz, IS; De guio, F; Lara, M; Orsini, M; Monari, M; Roberts, G; Appleton, C; Loftus, J; Buchan, I; El-Bouri, W; Leeming, G; Lane, D; Zheng, Y; McVey, D; Stephens, D; Ainsworth, J; Fay, L; Couch, P; Tempest, E; Stephen, R; White, R; Olier-Caparroso, I; Ortega-Martorell, S; Bellfield, RAA; Mason, B; Schmidt, AF; Da Providencia E Costa, RB; Ponnuthurai, J; the ARISTOTELES project

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

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Boriani, G ORCID: 0000-0002-9820-4815, Mei, DA, Lip, GYH ORCID: 0000-0002-7566-1626, 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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Artificial Intelligence in patients with atrial fibrillation to manage clinical complexity and comorbidities the ARISTOTELES project.pdf - Accepted Version
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Publisher URL: https://doi.org/10.1093/eurheartj/ehae792

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:	03 Jul 2025 17:00
DOI or ID number:	10.1093/eurheartj/ehae792
URI:	https://researchonline.ljmu.ac.uk/id/eprint/25088

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