Healthcare resource utilization for the management of neonatal head shape deformities: a propensity-matched analysis of AI-assisted and conventional approaches.

Journal: Journal of neurosurgery. Pediatrics
Published Date:

Abstract

OBJECTIVE: Overuse of radiography studies and underuse of conservative therapies for cranial deformities in neonates is a known inefficiency in pediatric craniofacial healthcare. This study sought to establish whether the introduction of artificial intelligence (AI)-generated craniometrics and craniometric interpretations into craniofacial clinical workflow improved resource utilization patterns in the initial evaluation and management of neonatal cranial deformities.

Authors

  • Jimin Shin
    1School of Medicine, University of Connecticut, Farmington.
  • Gabrielle Caron
    1School of Medicine, University of Connecticut, Farmington.
  • Petronella Stoltz
    1Division of Neurosurgery, Connecticut Children's, Hartford.
  • Jonathan E Martin
    1Division of Neurosurgery, Connecticut Children's, Hartford.
  • David S Hersh
    Departments of7Surgery and.
  • Markus J Bookland
    1Division of Neurosurgery, Connecticut Children's, Hartford.