Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in emergency rooms.

Journal: Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences
Published Date: Dec 31, 2024

Abstract

BACKGROUND: The initial assessment of trauma is a time-consuming and challenging task. The purpose of this research is to examine the diagnostic effectiveness and usefulness of machine learning models paired with radiomics features to identify blunt traumatic liver injury in abdominal computed tomography (CT) images.

Authors

  • Hanieh Alimiri Dehbaghi
    Department of Medical Physics, Student Research Committee, University of Medical Sciences, Kermanshah, Iran.
  • Karim Khoshgard
    Department of Medical Physics, University of Medical Sciences, Kermanshah, Iran.
  • Hamid Sharini
    Department of Biomedical Engineering, University of Medical Sciences, Kermanshah, Iran.
  • Samira Jafari Khairabadi
    Department of Biostatistics, Student Research Committee, University of Medical Sciences, Kermanshah, Iran.

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