Diagnostic test accuracy of machine learning algorithms for the detection intracranial hemorrhage: a systematic review and meta-analysis study.

Journal: Biomedical engineering online
PMID: 38049809

Abstract

BACKGROUND: This systematic review and meta-analysis were conducted to objectively evaluate the evidence of machine learning (ML) in the patient diagnosis of Intracranial Hemorrhage (ICH) on computed tomography (CT) scans.

Authors

  • Masoud Maghami
    Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Shahab Aldin Sattari
    Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Marziyeh Tahmasbi
    Department of Medical Imaging and Radiation Sciences, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Pegah Panahi
    Medical Doctor (MD), School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Javad Mozafari
    Department of Emergency Medicine, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
  • Kiarash Shirbandi
    Independent Medical Imaging Researcher, Tehran, Iran. Shirbandi.k@gmail.com.

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