Development of a Deep Learning Model for Retinal Hemorrhage Detection on Head Computed Tomography in Young Children.

Journal: JAMA network open
PMID: 37347482

Abstract

IMPORTANCE: Abusive head trauma (AHT) in children is often missed in medical encounters, and retinal hemorrhage (RH) is considered strong evidence for AHT. Although head computed tomography (CT) is obtained routinely, all but exceptionally large RHs are undetectable on CT images in children.

Authors

  • Fatma Gunturkun
    Quantitative Sciences Unit, Department of Medicine, Stanford University, Palo Alto, California.
  • Berna Bakir-Batu
    Center for Biomedical Informatics, University of Tennessee Health Science Center, Memphis.
  • Adeel Siddiqui
    Department of Radiology, University of Tennessee Health Sciences Center, Memphis.
  • Karen Lakin
    Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Mary E Hoehn
    Department of Ophthalmology, University of Tennessee Health Sciences Center, Memphis.
  • Robert Vestal
    Department of Ophthalmology, University of Tennessee Health Sciences Center, Memphis.
  • Robert L Davis
    Center for Biomedical Informatics, Department of Pediatrics, University of Tennessee Health Science Center, Memphis, TN.
  • Nadeem I Shafi
    Department of Pediatrics, University of Tennessee Health Sciences Center, Memphis.

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