Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video.

Guillaume KugenerYichao ZhuDhiraj J PangalAditya SinhaNicholas MarkarianArman RoshannaiJustin ChanAnimashree AnandkumarAndrew J HungBozena B WrobelGabriel ZadaDaniel A Donoho

Published in: Neurosurgery (2022)

BL and task outcome classification are important components of an automated assessment of surgical performance. DNNs can predict BL and outcome of hemorrhage control from video alone; their performance is improved with surgical instrument presence data. The generalizability of DNNs trained on hemorrhage control tasks should be investigated.

Keyphrases

neural network
deep learning
big data
mass spectrometry
resistance training
high resolution
body composition
artificial intelligence
patient reported outcomes