Ensemble deep learning model for predicting anterior cruciate ligament tear from lateral knee radiograph.

Journal: Skeletal radiology
Published Date:

Abstract

OBJECTIVE: To develop an ensemble deep learning model (DLM) predicting anterior cruciate ligament (ACL) tears from lateral knee radiographs and to evaluate its diagnostic performance.

Authors

  • Dong Hyun Kim
    Department of Ophthalmology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seoul, Korea.
  • Jee Won Chai
    Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Ji Hee Kang
    From the Department of Radiology, Seoul National University College of Medicine, 101 Daehak-ro, Jongno-gu, Seoul 03080, Korea (E.J.H., J.G.N., W.H.L., S.J.P., Y.S.J., J.H.K., E.K.H., T.M.K., J.M.G., C.M.P.); and Lunit, Seoul, Korea (S.P., K.H.K.).
  • Ji Hyun Lee
    Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University Health System, Seoul, Republic of Korea.
  • Hyo Jin Kim
    Department of Internal Medicine, Pusan National University Hospital, Busan, Korea.
  • Jiwoon Seo
    Department of Radiology, SMG-SNU Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Jae Won Choi