Artificial Intelligence in Acute Kidney Injury Prediction.
Artificial Intelligence in Acute Kidney Injury Prediction.
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DOI：
10.1053/j.ackd.2022.07.009
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发表时间：
2022-09
影响因子：
2.9
通讯作者：
中科院分区：
文献类型：
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作者：
The use of artificial intelligence (AI) in nephrology and its associated clinical research is growing. Recent years have seen increased interest in utilizing AI to predict the development of hospital-based acute kidney injury (AKI). Several AI techniques have been employed to improve the ability to detect AKI across a variety of hospitalized settings. This review discusses the evolutions of AKI risk prediction discussing the static risk assessment models of yesteryear as well as the more recent trend toward AI and advanced learning techniques. We discuss the relative improvement in AKI detection as well as the relative dearth of data around the clinical implementation and patient outcomes using these models. The use of AI for AKI detection and clinical care is in its infancy, and this review describes how we arrived at our current position and hints at the promise of the future.
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DOI：
10.1109/bibm.2018.8621574
发表时间：
2018-12
期刊：
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
影响因子：
--
作者：
Li Y;Yao L;Mao C;Srivastava A;Jiang X;Luo Y
通讯作者：
Luo Y
影响因子：
3.9
作者：
Lee HC;Yoon SB;Yang SM;Kim WH;Ryu HG;Jung CW;Suh KS;Lee KH
通讯作者：
Lee KH
影响因子：
39.2
作者：
Mangano, CM;Diamondstone, LS;Mangano, DT
通讯作者：
Mangano, DT
影响因子：
38.9
作者：
Flechet, Marine;Guiza, Fabian;Meyfroidt, Geert
通讯作者：
Meyfroidt, Geert
影响因子：
3.7
作者：
Adhikari, Lasith;Ozrazgat-Baslanti, Tezcan;Bihorac, Azra
通讯作者：
Bihorac, Azra