An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI.

Kelvin A Wong A Hatef John L Ryu Xuan V Nguyen Mina S Makary Luciano M Prevedello

Published in: AJNR. American journal of neuroradiology (2022)

Our model achieved high accuracy on a standard based on physician consensus. It showed promise as a clinical decision support tool to reduce the workload by automating the protocolling of a sizeable portion of examinations while maintaining high accuracy for the remaining examinations.

Keyphrases

clinical decision support
artificial intelligence
big data
electronic health record
machine learning
deep learning
emergency department
magnetic resonance imaging
primary care
randomized controlled trial
contrast enhanced
white matter
clinical practice
resting state
magnetic resonance
computed tomography