The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system

The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system

Summary: 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 c...

Full description

Bibliographic Details
Main Authors: Xiaoyang Han, Ziqi Yu, Yaoyao Zhuo, Botao Zhao, Yan Ren, Lorenz Lamm, Xiangyang Xue, Jianfeng Feng, Carsten Marr, Fei Shan, Tingying Peng, Xiao-Yong Zhang
Format: Article
Language:English
Published: Elsevier 2022-05-01
Series:iScience
Subjects:
health sciences
microbiology
artificial intelligence
machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222004977

Internet

http://www.sciencedirect.com/science/article/pii/S2589004222004977

Similar Items