Artificial intelligence for atrial fibrillation detection, prediction, and treatment: A systematic review of the last decade (2013–2023)

M Salvi, MR Acharya, S Seoni, O Faust… - … : Data Mining and …, 2024 - Wiley Online Library
Atrial fibrillation (AF) affects more than 30 million individuals worldwide, making it the most
prevalent cardiac arrhythmia on a global scale. This systematic review summarizes recent …

Diagnostic and Prognostic Models Based on Electrocardiograms for Rapid Clinical Applications

MS Islam, SV Kalmady, A Hindle, R Sandhu… - Canadian Journal of …, 2024 - Elsevier
Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECG) has the
potential to transform diagnosis and estimate the prognosis of not only cardiac but …

Radiomics of pericardial fat: a new frontier in heart failure discrimination and prediction

L Szabo, A Salih, ER Pujadas, A Bard, C McCracken… - European …, 2024 - Springer
Objectives To use pericardial adipose tissue (PAT) radiomics phenotyping to differentiate
existing and predict future heart failure (HF) cases in the UK Biobank. Methods PAT …

Cohort Profile: The Cardiovascular Research Data Catalogue

J Reinikainen, T Palosaari… - International Journal …, 2024 - academic.oup.com
Data from a single study are rarely sufficient to comprehensively understand a phenomenon
of interest or to build predictive models with statistical power. Meta-analyses, including …

Role of the Electrocardiogram for Identifying the Development of Atrial Fibrillation

SM Montazerin, Z Ekmekjian, C Kiwan… - Cardiology in …, 2024 - journals.lww.com
Atrial fibrillation (AF), a prevalent cardiac arrhythmia, is associated with increased morbidity
and mortality worldwide. Stroke, the leading cause of serious disability in the United States …

Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers

E Ruiz Pujadas, N Aung, L Szabo… - Annual Conference on …, 2024 - Springer
Ischemic heart disease (IHD) is the main cause of death globally. The coexistence of IHD
with atrial fibrillation (AF) can result in a reduced lifespan and severe disabilities. Despite the …

Desarrollo de nuevos marcadores y clasificadores de bajo coste computacional para identificar afecciones cardiacas en registros ECG

S Jiménez Serrano - 2023 - riunet.upv.es
[ES] Las enfermedades cardiovasculares son una de las principales causas de mortalidad y
morbilidad en el mundo. Entre las arritmias más comunes en adultos destaca la Fibrilación …

Cardiomyopathy prediction in patients with permanent ventricular pacing using machine learning methods

E Perepeka, V Lazoryshynets, V Babenko… - System research and …, 2024 - journal.iasa.kpi.ua
Pacing-induced cardiomyopathy is a notable issue in patients needing permanent
ventricular pacing. Identifying risk groups early and swiftly preventing the ailment can reduce …

New Ecg Biomarkers and Sex-Stratified Models for the Detection of Arrhythmogenic Cardiomyopathy with Left Ventricular Involvement

S Jiménez-Serrano, J Sanz-Sanchez… - Available at SSRN … - papers.ssrn.com
Arrhythmogenic Cardiomyopathy (ACM) is a rare cardiac disease that can lead to severe
cardiac structural and electrical abnormalities. Given its genetic basis, other relatives might …