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Renal Failure Volume 46, 2024 - Issue 1
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Artificial Intelligence and Machine Learning

Application of artificial intelligence in the management of patients with renal dysfunction

Bo Zhanga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Xiaocong Jianga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Jie Yanga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Jiajie Huanga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Chaoming Hua Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Yucai Honga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaView further author information
,
Hongying Nib Department of Critical Care Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, ChinaCorrespondence[email protected]
View further author information
&
Zhongheng Zhanga Department of Emergency Medicine, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-2336-5323View further author information
ORCID Icon show all
Article: 2337289 | Received 25 Mar 2024, Accepted 27 Mar 2024, Published online: 03 Apr 2024

Figures & data

Figure 1. An Overview of the Applications of Artificial Intelligence in Renal Dysfunction. EMR: electronic medical record; ECG: electrocardiogram; rs-fMRI: resting-state functional magnetic resonance imaging; AUC: the area under the receiver operating characteristic curve; AI: artificial intelligence; ML: machine learning; SHAP: SHapley Additive exPlanations; MHD-CI: maintenance hemodialysis patients with cognitive impairment; CI-AKI: contrast-induced acute kidney injury; NLR: Neutrophil-to-lymphocyte ratio; AKD: acute kidney disease; CKD: chronic kidney disease; FR: furosemide-responsive; FU: furosemide-unresponsive.

Figure 1. An Overview of the Applications of Artificial Intelligence in Renal Dysfunction. EMR: electronic medical record; ECG: electrocardiogram; rs-fMRI: resting-state functional magnetic resonance imaging; AUC: the area under the receiver operating characteristic curve; AI: artificial intelligence; ML: machine learning; SHAP: SHapley Additive exPlanations; MHD-CI: maintenance hemodialysis patients with cognitive impairment; CI-AKI: contrast-induced acute kidney injury; NLR: Neutrophil-to-lymphocyte ratio; AKD: acute kidney disease; CKD: chronic kidney disease; FR: furosemide-responsive; FU: furosemide-unresponsive.

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