The emergence of deep learning as the current state of art for classification and risk assessment of ventricular arrhythmias
J Physiol
.
2024 Sep;602(18):4645-4647.
doi: 10.1113/JP287420.
Epub 2024 Sep 9.
Author
Negin Amini
1
Affiliation
1
Physiology Department, McGill University, Canada.
PMID:
39252427
DOI:
10.1113/JP287420
No abstract available
Keywords:
CE‐CT; CNN; automation; deep learning; ventricular ablation; ventricular tachycardia.
MeSH terms
Arrhythmias, Cardiac* / physiopathology
Deep Learning*
Humans
Risk Assessment / methods