Artificial Intelligence for Breast Cancer Detection on Mammography: Factors Related to Cancer Detection.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: Little is known about the factors affecting the Artificial Intelligence (AI) software performance on mammography for breast cancer detection. This study was to identify factors associated with abnormality scores assigned by the AI software.

Authors

  • Heera Yoen
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Republic of Korea.
  • Myoung-Jin Jang
    From the Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Chongno-gu, Seoul 03080, Korea (S.L., J.M.G., S.H.Y.); Division of Pulmonary and Critical Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea (J.J.Y., N.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Korea (Y.J.L.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea (J.K.L.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, National Medical Center, Seoul, Korea (J.Y.L.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Incheon, Korea (J.S.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea (Y.A.K.); Department of Internal Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Korea (D.J.); Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Korea (M.J.J.); Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea (J.M.G.); and Department of Radiology, UMass Memorial Medical Center, Worcester, Mass (S.H.Y.).
  • Ann Yi
    Department of Radiology, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Korea.
  • Woo Kyung Moon
    Department of Radiology, Seoul National University Hospital, Seoul 110-744, South Korea.
  • Jung Min Chang
    Department of Radiology, Seoul National University Hospital, Seoul 110-744, South Korea.