Automated Preoperative and Postoperative Volume Estimates Risk of Retreatment in Chronic Subdural Hematoma: A Retrospective, Multicenter Study.

Jan Vargas Matthew W PeaseM Harrison SnyderJonathan BlalockShandong WuEnyinna NwachukuAditya MittalDavid O OkonkwoRyan T Kellogg

Published in: Neurosurgery (2023)

Larger preoperative and postoperative cSDH volumes increase the risk of retreatment. Volume thresholds may allow identification of patients at high risk of cSDH retreatment who would benefit from adjunct treatments. Machine learning algorithm can quickly provide accurate estimates of preoperative and postoperative volumes.

Keyphrases

patients undergoing
machine learning
deep learning
artificial intelligence
big data
high resolution
high throughput
mass spectrometry
neural network
bioinformatics analysis