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

Abstract Acute respiratory distress syndrome (ARDS) remains a major challenge in critical care, with mortality exceeding 40%. Its diagnosis and management depend on multi-step procedures, invasive arterial blood gas analysis, and subjective CT interpretation, often leading to inconsistency, delayed...

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Detalhes bibliográficos

Principais autores:	Yuetan Chu, Jianpeng Wang, Peiyao Luo, Hui Chen, Zhongheng Zhang, Jiannan Zhang, Yilan Zhang, Yingnan Ju, Yaxin Xiong, Xiqing Luo, Jiuyue Sun, Hongyu Shi, Mingbo Zhao, Tinghui Qiu, Yiqi Wang, Quankuan Gu, Ping Hang, Qiuyue Yang, Jiaman Guan, Yi Zhang, Renpei Lu, Ci Han, Yaoyu Gu, Changsong Wang, Kai Kang, Zhaowen Qiu, Xin Ge, Gongning Luo, Xin Gao, Kaijiang Yu, Mingyan Zhao, Xianglin Meng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
coleção:	npj Digital Medicine
Acesso em linha:	https://doi.org/10.1038/s41746-026-02648-9
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