Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid Responsiveness.

Michael BlaivasLaura BlaivasGary PhilipsRoland MerchantMitchell LevyAdeel AbbasiCarsten EickhoffNathan ShapiroKeith A Corl

Published in: Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine (2020)

We demonstrated that an LSTM network can be trained by using videos of IVC US to classify IVC collapse to predict fluid responsiveness. Our LSTM network performed moderately well given the small training cohort but worse than point-of-care US experts. Further training and testing of the LSTM network with a larger data sets is warranted.

Keyphrases

inferior vena cava
pulmonary embolism
deep learning
neural network
vena cava
big data
network analysis
resistance training