Cargando…
Deep learning-based artificial intelligence model for classification of vertebral compression fractures: A multicenter diagnostic study
OBJECTIVE: To develop and validate an artificial intelligence diagnostic system based on X-ray imaging data for diagnosing vertebral compression fractures (VCFs) METHODS: In total, 1904 patients who underwent X-ray at four independent hospitals were retrospectively (n=1847) and prospectively (n=57)...
Autores principales: | Xu, Fan, Xiong, Yuchao, Ye, Guoxi, Liang, Yingying, Guo, Wei, Deng, Qiuping, Wu, Li, Jia, Wuyi, Wu, Dilang, Chen, Song, Liang, Zhiping, Zeng, Xuwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10073698/ https://www.ncbi.nlm.nih.gov/pubmed/37033240 http://dx.doi.org/10.3389/fendo.2023.1025749 |
Ejemplares similares
-
A multicenter study on the application of artificial intelligence radiological characteristics to predict prognosis after percutaneous nephrolithotomy
por: Hou, Jian, et al.
Publicado: (2023) -
Diagnostic Performance of Diffusion-Weighted Imaging for Differentiating Malignant From Benign Intraductal Papillary Mucinous Neoplasms of the Pancreas: A Systematic Review and Meta-Analysis
por: Xu, Fan, et al.
Publicado: (2021) -
Risk factors of new vertebral compression fracture after percutaneous vertebroplasty or percutaneous kyphoplasty
por: Cheng, Yuanpei, et al.
Publicado: (2022) -
Correlation analysis of larger side bone cement volume/vertebral body volume ratio with adjacent vertebral compression fractures during vertebroplasty
por: Zhou, Chengqiang, et al.
Publicado: (2023) -
Preoperative prediction of residual back pain after vertebral augmentation for osteoporotic vertebral compression fractures: Initial application of a radiomics score based nomogram
por: Ge, Chen, et al.
Publicado: (2022)