CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care

-based monitoring for noninvasive severity stratification and ventilation management; and (4) predicted 28-day outcomes (time-averaged AUC = 0.79), providing complementary risk assessment for clinical planning. Further analyses confirm generalizability to ARDS-associated right ventricular dysfunction (AUC = 0.76) and revealed a positive shift image-derived age residuals, reflecting disease-related imaging patterns that resemble pulmonary aging. By bridging visual information with quantitative physiology, AutoARDS exemplifies a scalable blueprint for transforming chest CT into an integrated, quantitative platform for precise and reproducible critical-care management.

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Publication Details

Journal
npj Digital Medicine
Published
2026-04-24
DOI
https://doi.org/10.1038/s41746-026-02648-9
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

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article

CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care

Jiannan Zhang, Quankuan Gu, Yaxin Xiong, Hui Chen et al.
npj Digital Medicine
Respiratory Support and Mechanisms
article

CT-based AI system for quantitative and integrated management of acute respiratory distress syndrome in critical care

Jiannan Zhang, Quankuan Gu, Yaxin Xiong, Hui Chen, Zhaowen Qiu, Yingnan Ju, Ping Hang, Peiyao Luo, Qiu Tinghui, Xianglin Meng, Zhongheng Zhang, Yuetan Chu, Ci Han, Qiuyue Yang, Xin Ge, Xin Gao, Kai Kang, Xiqing Luo, Yilan Zhang, Yaoyu Gu, Mingbo Zhao, Renpei Lu, Yiqi Wang, Changsong Wang, Jiaman Guan, Hongyu Shi, Kaijiang Yu, Jiuyue Sun, Mingyan Zhao, Yi Ru-Ya Zhang, Jianpeng Wang, Gongning Luo
article en

Abstract

-based monitoring for noninvasive severity stratification and ventilation management; and (4) predicted 28-day outcomes (time-averaged AUC = 0.79), providing complementary risk assessment for clinical planning. Further analyses confirm generalizability to ARDS-associated right ventricular dysfunction (AUC = 0.76) and revealed a positive shift image-derived age residuals, reflecting disease-related imaging patterns that resemble pulmonary aging. By bridging visual information with quantitative physiology, AutoARDS exemplifies a scalable blueprint for transforming chest CT into an integrated, quantitative platform for precise and reproducible critical-care management.

npj Digital Medicine
Harbin Medical University (CN), Sir Run Run Shaw Hospital (CN), Soochow University (CN), Fudan University Shanghai Cancer Center (CN), Zhongda Hospital Southeast University (CN), Hainan General Hospital (CN), Wuxi Ninth People's Hospital (CN), First Affiliated Hospital of Harbin Medical University (CN), Northeast Forestry University (CN), King Abdullah University of Science and Technology (SA), Hainan Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 14%
Respiratory Support and Mechanisms
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