Author

H.-Y. He

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#artificial intelligence Review Oct 2026

[Artificial intelligence-driven early warning for severe pneumonia: pathways and challenges from data integration to clinical decision-making].

Severe pneumonia, characterized by rapid progression and high heterogeneity, is a leading cause of patient mortality. Early identification of high-risk patients is crucial for improving outcomes. Traditional risk stratification tools, such as CURB-65 score and pneumonia severity index (PSI), primarily rely on static va...

H.-Y. He · Zhonghua jie he he hu xi za... · 0 citations

#artificial intelligence Review Oct 2026

[Acute respiratory distress syndrome secondary to severe pneumonia: how to perform precise and individualized assessment].

Severe pneumonia is the most common cause of acute respiratory distress syndrome (ARDS), and precise and individualized assessment is a prerequisite for improving therapeutic outcomes. Of all bedside assessment tools, respiratory physiological indicators are the most readily available and widely adopted, covering key m...

Qing-Yuan Zhan, J.-G. Xia, H.-Y. He et al. · Zhonghua jie he he hu xi za... · 0 citations