Prediction of shunt failure facilitated by rapid and accurate volumetric analysis: a single institution's preliminary experience.

Tushar R JhaMark F QuigleyKhashayar MozaffariOrgest LathiaKatherine HofmannJohn S MyserosChima OluigboRobert F Keating

Published in: Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery (2022)

The automated software accurately measures the ventricular volumes in pediatric patients with hydrocephalus. The application of this technology is valuable in patients who present clinically without obvious radiographic changes. Future studies with larger cohorts are needed to validate our preliminary findings and further assess the utility of this technology.

Keyphrases

heart failure
machine learning
deep learning
left ventricular
subarachnoid hemorrhage
current status
pulmonary artery
data analysis
pulmonary arterial hypertension