2D materials in flexible electronics: recent advances and future prospectives

AK Katiyar, AT Hoang, D Xu, J Hong, BJ Kim… - Chemical …, 2023 - ACS Publications
Flexible electronics have recently gained considerable attention due to their potential to
provide new and innovative solutions to a wide range of challenges in various electronic …

[HTML][HTML] Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation

NA Trayanova, A Lyon, J Shade… - Physiological …, 2023 - pmc.ncbi.nlm.nih.gov
The complexity of cardiac electrophysiology, involving dynamic changes in numerous
components across multiple spatial (from ion channel to organ) and temporal (from …

AI cardiac MRI scar analysis aids prediction of major arrhythmic events in the multicenter DERIVATE registry

F Ghanbari, T Joyce, V Lorenzoni, AI Guaricci… - Radiology, 2023 - pubs.rsna.org
Background Scar burden with late gadolinium enhancement (LGE) cardiac MRI (CMR)
predicts arrhythmic events in patients with postinfarction in single-center studies. However …

Survival prediction of heart failure patients using motion-based analysis method

S Guo, H Zhang, Y Gao, H Wang, L Xu, Z Gao… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective: Survival prediction of heart failure patients is critical to
improve the prognostic management of the cardiovascular disease. The existing survival …

Present and future innovations in AI and cardiac MRI

MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Twenty-five years of research in cardiac imaging in electrophysiology procedures for atrial and ventricular arrhythmias

A Berruezo, D Penela, B Jáuregui, C de Asmundis… - Europace, 2023 - academic.oup.com
Catheter ablation is nowadays considered the treatment of choice for numerous cardiac
arrhythmias in different clinical scenarios. Fluoroscopy has traditionally been the primary …

Artificial intelligence and machine learning applications in sudden cardiac arrest prediction and management: a comprehensive review

S Aqel, S Syaj, A Al-Bzour, F Abuzanouneh… - Current Cardiology …, 2023 - Springer
Abstract Purpose of Review This literature review aims to provide a comprehensive
overview of the recent advances in prediction models and the deployment of AI and ML in …

Radiomics of late gadolinium enhancement reveals prognostic value of myocardial scar heterogeneity in hypertrophic cardiomyopathy

AS Fahmy, EJ Rowin, N Jaafar, RH Chan… - Cardiovascular …, 2024 - jacc.org
Background Late gadolinium enhancement (LGE) scar burden by cardiac magnetic
resonance is a major risk factor for sudden cardiac death (SCD) in hypertrophic …

[HTML][HTML] Artificial intelligence in ventricular arrhythmias and sudden death

L Holmström, FZ Zhang, D Ouyang, D Dey… - Arrhythmia & …, 2023 - ncbi.nlm.nih.gov
Sudden cardiac arrest due to lethal ventricular arrhythmias is a major cause of mortality
worldwide and results in more years of potential life lost than any individual cancer. Most of …

Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias

MZH Kolk, S Ruipérez-Campillo, CP Allaart… - Scientific Reports, 2024 - nature.com
The efficacy of an implantable cardioverter-defibrillator (ICD) in patients with a non-
ischaemic cardiomyopathy for primary prevention of sudden cardiac death is increasingly …