Artificial intelligence prediction models for acute respiratory distress syndrome：progress and challenges

Artificial intelligence prediction models for acute respiratory distress syndrome：progress and challenges

Acute respiratory distress syndrome（ARDS）is a highly heterogeneous critical illness with high morbidity and mortality. Early identification and risk assessment are crucial to improving patient prognosis. Current artificial intelligence（AI）technology，especially machine learning（ML）models，have shown s...

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Bibliographic Details
Main Author: MENG Xianglin*，XIONG Yaxin，HAN Ci，GE Xin，ZHAO Mingyan
Format: Article
Language:zho
Published: The Editorial Department of Chinese Journal of Clinical Research 2025-08-01
Series:Zhongguo linchuang yanjiu
Subjects:
acute respiratory distress syndrome
artificial intelligence
machine learning
risk prediction
precision medicine
Online Access:http://zglcyj.ijournals.cn/zglcyj/ch/reader/create_pdf.aspx?file_no=20250801
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