Machine Learning for Detecting Atrial Fibrillation from ECGs: Systematic Review and Meta-Analysis.

ML algorithms are effective for detecting AF from ECGs. DL algorithms, particularly those based on convolutional neural networks (CNN), demonstrate superior performance in AF detection compared to TML algorithms. The integration of ML algorithms can help wearable devices diagnose AF earlier.