This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328) Imaging Informatics (187) Machine Learning (1383) Osteoporosis and Osteoporosis Prevention (11) Medical imaging (20)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48535, first published .
A Computed Tomography–Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study

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

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

Authors of this article:

Sung Hye Kong1 Author Orcid Image ;   Wonwoo Cho2 Author Orcid Image ;   Sung Bae Park3 Author Orcid Image ;   Jaegul Choo2 Author Orcid Image ;   Jung Hee Kim4 Author Orcid Image ;   Sang Wan Kim5 Author Orcid Image ;   Chan Soo Shin4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Sung Hye Kong   1 * , MD, PhD ;   Wonwoo Cho   2 * , MSc ;   Sung Bae Park   3 , MD, PhD ;   Jaegul Choo   2 * , PhD ;   Jung Hee Kim   4 * , MD, PhD ;   Sang Wan Kim   5 , MD, PhD ;   Chan Soo Shin   4 , MD, PhD

1 Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea

2 Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

3 Department of Neurosurgery, Seoul National University Boramae Hospital, Seoul, Republic of Korea

4 Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea

5 Department of Internal Medicine, Seoul National University Boramae Hospital, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jung Hee Kim, MD, PhD
  • Department of Internal Medicine
  • Seoul National University Hospital
  • 101 Dae-hak ro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 220724839
  • Email: jhee1@snu.ac.kr