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2025ZD01902501

Funded outputs count: 5
Funder award ID: 2025ZD01902501
OpenAlex ID: G166316929
Development and Validation of an Interpretable Machine Learning Model for Predicting In-Hospital Mortality in Diabetic Patients with Sepsis-Associated Acute Kidney Injury
2026 · Yanni Wang, Hongjie Shen, et al. · Journal of Intensive Care Medicine
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Exploring a dynamic digital biomarker of illness severity in older ICU patients via interpretable time-series deep learning modeling
2026 · Zhenyue Gao, Yuqiang Wang, et al. · npj Digital Medicine
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From early warning to endotype-guided care in sepsis: A critical narrative review of AI, multi-omics, and clinical translation
2026 · Shengze Wu, Suibi Yang, et al. · Intensive Care Science
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Artificial intelligence in sepsis-associated acute kidney injury: Applications in prediction and decision support - A scoping review
2026 · Yang Wang, Yang He, et al. · Artificial Intelligence in Emergency Medicine
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Artificial intelligence in the management of acute kidney injury after cardiac surgery
2026 · Suibi Yang, Hongjie Shen, et al. · Artificial Intelligence Surgery
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