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Xunying Zhang on Muck Rack

Xunying Zhang

As seen in: Frontiers
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Articles

Integration of machine learning and large language models for screening and identifying key risk factors of acute kidney injury after cardiac surgery

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By Zishan Li, Lei Wang, Aiping Wu, Tao Liu, Xunying Zhang
| Frontiers
1 Introduction Acute kidney injury (AKI) is a common and serious clinical syndrome, especially among patients in the intensive care unit (ICU) (1). The occurrence of AKI not only significantly increases the patient’s hospitalization time and medical expenses, but is also closely related to high short-term and long-term mortality. According to statistics, the incidence of AKI in ICU patients can be as high as 40%–60%, with about 10%–15% of these patients requiring renal replacement therapy (RRT).
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