Publications by authors named "Alexander Te-Wei Shieh"
Acta Cardiol Sin
November 2024
Article Synopsis
- - The study investigates how well deep-learning (DL) models can analyze electrocardiograms (ECGs) to predict changes in the left ventricle related to significant aortic regurgitation (AR), which has been challenging to identify in the past.
- - Researchers collected data from 573 patients and used a ResNet-based model to correlate ECG readings with various left ventricular parameters, achieving promising scores in distinguishing levels of left ventricular dysfunction.
- - The findings suggest that using DL models on ECGs could improve the detection of left ventricular issues and potentially reduce the need for additional echocardiography, especially in situations where access to such tests is limited.
