Another piece in the puzzle of atrial fibrillation risk: clinical, genetic, and electrocardiogram-based artificial intelligence
Year: 2024
Type: article
Abstract: Current concepts and open questions in atrial fibrillation risk assessment. The figure summarizes the concepts investigated in the study by Jabbour et al. and open questions in integrated AF risk estimation. ECG, electrocardiogram; AI, artificial intelligence; AF, atrial fibrillation
Source: European Heart Journal
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1445764998, G1595172143, G3553811666, Genomics and Epigenetics of Atrial Fibrillation, G3897532131, G3958405959, G4405986302, G4411418652, G475755283, G5003834007, Deep learning von Echokardiographie zur Risikoprädiktion von Vorhofflimmern, Machine Learning Artificial Intelligence Early Detection Stroke Atrial Fibrillation, G8767518440, Deep Learning to Identify Digital Biomarkers of Cardiovascular Disease, G9000002183, G9000208878, G9000265122
OpenAlex ID: W4404023704