Artificial Intelligence Detection of Cervical Spine Fractures Using Convolutional Neural Network Models
We successfully used deep learning models for computer-assisted diagnosis of cervical spine fractures from radiographic x-ray images. This approach can assist the radiologist in screening, detecting, and diagnosing cervical spine fractures.
Authors
- Wongthawat Liawrungrueang (ORCID: https://orcid.org/0000-0002-4491-6569)
- Inbo Han (ORCID: https://orcid.org/0000-0002-0834-9325)
- Watcharaporn Cholamjiak (ORCID: https://orcid.org/0000-0002-8563-017X)
- Peem Sarasombath (ORCID: https://orcid.org/0000-0003-0513-238X)
- K. Daniel Riew (ORCID: https://orcid.org/0000-0002-0718-3423)
Institutions
- NewYork–Presbyterian Hospital (US)
- Cornell University (US)
- New York Hospital Queens (US)
- Phramongkutklao Hospital (TH)
- University of Phayao (TH)
- CHA University Bundang Medical Center (KR)
- CHA University (KR)
- Neurological Surgery (US)
- Columbia University (US)
Publication Details
- Journal
- Neurospine
- Published
- 2024-09-27
- DOI
- https://doi.org/10.14245/ns.2448580.290
- Citations
- 20
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 3.69