Cargando…
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system
The respective value of clinical data and CT examinations in predicting COVID-19 progression is unclear, because the CT scans and clinical data previously used are not synchronized in time. To address this issue, we collected 119 COVID-19 patients with 341 longitudinal CT scans and paired clinical d...
Autores principales: | Han, Xiaoyang, Yu, Ziqi, Zhuo, Yaoyao, Zhao, Botao, Ren, Yan, Lamm, Lorenz, Xue, Xiangyang, Feng, Jianfeng, Marr, Carsten, Shan, Fei, Peng, Tingying, Zhang, Xiao-Yong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989658/ https://www.ncbi.nlm.nih.gov/pubmed/35434542 http://dx.doi.org/10.1016/j.isci.2022.104227 |
Ejemplares similares
-
A generalizable brain extraction net (BEN) for multimodal MRI data from rodents, nonhuman primates, and humans
por: Yu, Ziqi, et al.
Publicado: (2022) -
Application of Artificial Intelligence for Bridge Deterioration Model
por: Chen, Zhang, et al.
Publicado: (2015) -
Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers
por: Palatnik de Sousa, Iam, et al.
Publicado: (2021) -
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
por: Hosch, René, et al.
Publicado: (2022) -
Contribution of CT-Scan Analysis by Artificial Intelligence to the Clinical Care of TBI Patients
por: Brossard, Clément, et al.
Publicado: (2021)