Artificial neural networks can be effectively used to model changes of intracranial pressure (ICP) during spinal surgery using different non invasive ICP surrogate estimators.

CONCLUSIONS: Our MLP analysis confirmed our findings previously obtained with regression, correlation, multivariate Receiving Operator Curve (multi-ROC) analyses. ANNs can be successfully used to predict the effects of prone versus supine position and PEEP on ICP in patients undergoing spinal surgery using different non invasive surrogate estimators of ICP. PMID: 29480684 [PubMed - as supplied by publisher]
Source: Journal of Neurosurgical Sciences - Category: Neurosurgery Tags: J Neurosurg Sci Source Type: research