Using artificial intelligence to predict mortality in AKI patients: a systematic review/meta-analysis.
利用人工智慧預測 AKI 患者死亡率:系統性回顧與荟萃分析。
Clin Kidney J 2024-06-21
Artificial intelligence and machine learning's role in sepsis-associated acute kidney injury.
人工智慧和機器學習在與敗血症相關的急性腎損傷中的作用。
Kidney Res Clin Pract 2024-06-27
A novel real-time model for predicting acute kidney injury in critically ill patients within 12 hours.
一個新穎的即時模型,可在12小時內預測危重症患者的急性腎損傷。
Nephrol Dial Transplant 2024-07-17
Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review.
基於機器學習的敗血症相關急性腎損傷預測模型:範疇回顧。
Ren Fail 2024-07-31
Acute kidney disease in hospitalized pediatric patients: risk prediction based on an artificial intelligence approach.
住院小兒患者急性腎病:基於人工智慧方法的風險預測。
Ren Fail 2024-12-13
Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation study.
深度學習在慢性腎病患者中預測冠狀動脈造影及介入後急性腎損傷的模型開發與驗證研究。
Ren Fail 2025-03-14
Systematic Review and Meta-Analysis of Machine Learning Models for Acute Kidney Injury Risk Classification.
急性腎損傷風險分類的機器學習模型系統性回顧與統合分析。
J Am Soc Nephrol 2025-03-28