External validation of a deep learning algorithm for automated echocardiographic strain measurements.

Peder Langeland MyhreChung-Lieh HungMatthew J FrostZhubo JiangWouter OuwerkerkKanako TeramotoSara SvedlundAntti SarasteCamilla HageRu-San TanLauren Beussink-NelsonMaria L FermerLi-Ming GanYoran M HummelLars H LundSanjiv J ShahCarolyn S P LamJasper Tromp

Published in: European heart journal. Digital health (2023)

DL algorithms can interpret echocardiographic strain images with similar accuracy as conventional measurements. These results highlight the potential of DL algorithms to democratize the use of cardiac strain measurements and reduce time-spent and costs for echo labs globally.

Keyphrases

deep learning
machine learning
left ventricular
convolutional neural network
artificial intelligence
pulmonary hypertension
mitral valve
magnetic resonance
left atrial
ejection fraction
high throughput
single cell
diffusion weighted imaging
neural network