Clinical usefulness of deep learning-based automated segmentation in intracranial hemorrhage.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
Published Date:

Abstract

BACKGROUND: Doctors with various specializations and experience order brain computed tomography (CT) to rule out intracranial hemorrhage (ICH). Advanced artificial intelligence (AI) can discriminate subtypes of ICH with high accuracy.

Authors

  • Chang Ho Kim
    Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Myong Hun Hahm
    Department of Radiology, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Dong Eun Lee
    Department of Emergency Medicine, Kyungpook National University, Daegu, Korea.
  • Jae Young Choe
    Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Jae Yun Ahn
    Department of Emergency Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Sin-Youl Park
    Department of Emergency Medicine, College of Medicine, Yeungnam University, Daegu, Korea.
  • Suk Hee Lee
    Department of Emergency Medicine, Daegu Catholic University School of Medicine, Daegu, Korea.
  • Youngseok Kwak
    Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Sang-Youl Yoon
    Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, South Korea. Electronic address: customplus@naver.com.
  • Ki-Hong Kim
    Department of Neurosurgery, School of Medicine of Daegu Catholic University, Daegu, South Korea. Electronic address: gneuros@cu.ac.kr.
  • Myungsoo Kim
    Department of Neurosurgery, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Sung Hyun Chang
    Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, Korea.
  • Jeongwoo Son
    Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Junghwan Cho
    CAIDE Systems Inc., 110 Canal St., Lowell, MA, 01852, USA. jcho@caidesystems.com.
  • Ki-Su Park
    Department of Neurosurgery, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.
  • Jong Kun Kim
    Department of Emergency Medicine, School of Medicine of Kyungpook National University, 680 Gukchaebosang-ro, Jung-gu, Daegu, 41944, South Korea.