A Computed Tomography-Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study.

Abstract

Authors

• Sung Hye Kong
  Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
• Wonwoo Cho
  Kim Jaechul Graduate School of Artificial Intelligence, KAIST, 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
• Sung Bae Park
  Department of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Republic of Korea.
• Jaegul Choo
• Jung Hee Kim
  Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
• Sang Wan Kim
  From the Interdisciplinary Program in Bioengineering (Y.K., Y.S.) and Integrated Major in Innovative Medical Science (Y.K.), Seoul National University Graduate School, Seoul, Republic of Korea; Department of Radiology (Y.K.), Transdisciplinary Department of Medicine & Advanced Technology (Y.G.K., B.W.K., Y.S.), and Department of Internal Medicine (J.H.K., C.S.S.), Seoul National University Hospital, Seoul, Republic of Korea; Departments of Orthopaedic Surgery (J.W.P., Y.K.L.) and Internal Medicine (S.H.K.), Seoul National University Bundang Hospital, 82 Gumi-ro 173 Beon-gil, Bundang gu, Seongnam, Republic of Korea; Departments of Medicine (Y.G.K.) and Internal Medicine (S.H.K., J.H.K., S.W.K., C.S.S.), Seoul National University College of Medicine, Seoul, Republic of Korea; and Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea (S.W.K.).
• Chan Soo Shin
  Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

Keywords

External Resources