Impact of a computed tomography-based artificial intelligence software on radiologists' workflow for detecting acute intracranial hemorrhage.

Journal: Diagnostic and interventional radiology (Ankara, Turkey)
Published Date: Jul 7, 2025

Abstract

PURPOSE: To assess the impact of a commercially available computed tomography (CT)-based artificial intelligence (AI) software for detecting acute intracranial hemorrhage (AIH) on radiologists' diagnostic performance and workflow in a real-world clinical setting.

Authors

  • Jimin Kim
    Department of Dental Anesthesiology, Seoul National University Dental Hospital, Seoul, Korea.
  • Jinhee Jang
    GenesisEgo, Seoul, Republic of Korea.
  • Se Won Oh
    Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea. Electronic address: oasis1979@gmail.com.
  • Ha Young Lee
    Department of Radiology, Eunpyeong St. Mary's Hospital, The Catholic University of Korea College of Medicine, Seoul 03312, Korea.
  • Eun Jeong Min
    The Catholic University of Korea College of Medicine, Department of Medical Life Sciences, Seoul, Korea.
  • Jin Wook Choi
    Ajou University School of Medicine, Ajou University Hospital, Department of Radiology, Suwon, Korea.
  • Kook-Jin Ahn
    Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea.

Keywords

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