Filippo Crea
doi : 10.1093/eurheartj/ehab830
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4703–4706
Konstantin Alexander Krychtiuk, Christian Hassager, Sergio Leonardi
doi : 10.1093/eurheartj/ehab384
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4707–4709
Mohammed Y Khanji, Bismah Ali, Shakeel Ahmed
doi : 10.1093/eurheartj/ehab652
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4710–4712
Mark Nicholls
doi : 10.1093/eurheartj/ehab267
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4713–4715
Massimo Volpe, Carlo Patrono
doi : 10.1093/eurheartj/ehab728
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4715–4716
Zachi I Attia, David M Harmon, Elijah R Behr, Paul A Friedman
doi : 10.1093/eurheartj/ehab649
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4717–4730
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG, a ubiquitous, non-invasive cardiac test that is integrated into practice workflows, into a screening tool and predictor of cardiac and non-cardiac diseases, often in asymptomatic individuals. This review describes the mathematical background behind supervised AI algorithms, and discusses selected AI ECG cardiac screening algorithms including those for the detection of left ventricular dysfunction, episodic atrial fibrillation from a tracing recorded during normal sinus rhythm, and other structural and valvular diseases. The ability to learn from big data sets, without the need to understand the biological mechanism, has created opportunities for detecting non-cardiac diseases as COVID-19 and introduced challenges with regards to data privacy. Like all medical tests, the AI ECG must be carefully vetted and validated in real-world clinical environments. Finally, with mobile form factors that allow acquisition of medical-grade ECGs from smartphones and wearables, the use of AI may enable massive scalability to democratize healthcare.
Michele Brignole, Francesco Pentimalli, Pietro Palmisano, Maurizio Landolina, Fabio Quartieri, Eraldo Occhetta, Leonardo Calò, Giuseppe Mascia, Lluis Mont, Kevin Vernooy, Vincent van Dijk, Cor Allaart, Laurent Fauchier, Maurizio Gasparini, Gianfranco Parati, Davide Soranna, Michiel Rienstra, Isabelle C Van Gelder, for the APAF-CRT Trial Investigators
doi : 10.1093/eurheartj/ehab569
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4731–4739
In patients with atrial fibrillation (AF) and heart failure (HF), strict and regular rate control with atrioventricular junction ablation and biventricular pacemaker (Ablation?+?CRT) has been shown to be superior to pharmacological rate control in reducing HF hospitalizations. However, whether it also improves survival is unknown.
Cecilia Linde
doi : 10.1093/eurheartj/ehab695
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4740–4742
Peter J Schwartz, Cristina Moreno, Maria-Christina Kotta, Matteo Pedrazzini, Lia Crotti, Federica Dagradi, Silvia Castelletti, Kristina H Haugaa, Isabelle Denjoy, Maria A Shkolnikova, Paul A Brink, Marshall J Heradien, Sandrine R M Seyen, Roel L H M G Spätjens, Carla Spazzolini, Paul G A Volders
doi : 10.1093/eurheartj/ehab582
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4743–4755
Mutation type, location, dominant-negative IKs reduction, and possibly loss of cyclic adenosine monophosphate (cAMP)-dependent IKs stimulation via protein kinase A (PKA) influence the clinical severity of long QT syndrome type 1 (LQT1). Given the malignancy of KCNQ1-p.A341V, we assessed whether mutations neighbouring p.A341V in the S6 channel segment could also increase arrhythmic risk.
Andrew Tinker
doi : 10.1093/eurheartj/ehab668
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4756–4758
So-Ryoung Lee, Eue-Keun Choi, Jin-Hyung Jung, Kyung-Do Han, Seil Oh, Gregory Y H Lip
doi : 10.1093/eurheartj/ehab315
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4759–4768
The aim of this study was to evaluate the association between alcohol consumption status (and its changes) after newly diagnosed atrial fibrillation (AF) and the risk of ischaemic stroke.
Andrea M Russo
doi : 10.1093/eurheartj/ehab657
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4769–4771
Ryoma Fukuoka, Akio Kawamura, Shun Kohsaka
doi : 10.1093/eurheartj/ehab159
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4772–4773
Arwa Younis, Ilan Goldenberg
doi : 10.1093/eurheartj/ehab162
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Pages 4774–4775
Virgile Chevance, Fréderic Pigneur, Pascal Lim, Jean-François Deux
doi : 10.1093/eurheartj/ehab231
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Page 4773
Jonika M Weerasekare, Jeffrey B Geske
doi : 10.1093/eurheartj/ehab150
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Page 4775
Michele Brignole, Francesco Pentimalli, Pietro Palmisano, Maurizio Landolina, Fabio Quartieri, Eraldo Occhetta, Leonardo Calò, Giuseppe Mascia, Lluis Mont, Kevin Vernooy, Vincent van Dijk, Cor Allaart, Laurent Fauchier, Maurizio Gasparini, Gianfranco Parati, Davide Soranna, Michiel Rienstra, Isabelle C Van Gelder for the APAF-CRT Trial Investigators
doi : 10.1093/eurheartj/ehab669
European Heart Journal, Volume 42, Issue 46, 7 December 2021, Page 4768
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