Comprehensive Morphometric Analysis to Identify Key Neuroimaging Biomarkers for the Diagnosis of Adult Hydrocephalus Using Artificial Intelligence.

Journal: Neurosurgery
Published Date:

Abstract

BACKGROUND AND OBJECTIVES: Hydrocephalus involves abnormal cerebrospinal fluid accumulation in brain ventricles. Early and accurate diagnosis is crucial for timely intervention and preventing progressive neurological deterioration. The aim of this study was to identify key neuroimaging biomarkers for the diagnosis of hydrocephalus using artificial intelligence to develop practical and accurate diagnostic tools for neurosurgeons.

Authors

  • Seifollah Gholampour
    Department of Neurological Surgery, University of Chicago, Chicago , Illinois , USA.
  • Jacob Benjamin Rosen
  • Michelangelo Pagan
  • Sonja Chen
  • Ibrahim Gomaa
  • Arshia Dehghan
  • Mark Graham Waterstraat