Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction.

Akhil VaidEdgar ArgulianStamatios LerakisBrett K Beaulieu-JonesChayakrit KrittanawongEyal KlangJoshua LampertVivek Y ReddyJagat NarulaGirish Nitin Nadkarni Benjamin Scott Glicksberg

Published in: Communications medicine (2023)

Deep learning based tools can increase the amount of information extracted from ubiquitous investigations such as the ECG. Such tools are inexpensive, can help in earlier disease detection, and potentially improve prognosis.

Keyphrases

deep learning
atrial fibrillation
artificial intelligence
convolutional neural network
machine learning
heart failure
oxidative stress
heart rate variability
heart rate
loop mediated isothermal amplification
health information
real time pcr
label free
aortic valve
social media