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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
 
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Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The study was funded by the China National Key Research and Development Program [2022YFC2504503, 2023YFC3603104], a collaborative scientific project co-established by the Science and Technology Department of the National Administration of Traditional Chinese Medicine and the Zhejiang Provincial Administration of Traditional Chinese Medicine [GZY-ZJ-KJ-24082], General Health Science and Technology Program of Zhejiang Province [2024KY1099], the Huadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation of China [LHDMD24H150001], National Natural Science Foundation of China [82272180], and the Project of Drug Clinical Evaluate Research of Chinese Pharmaceutical Association [CPA-Z06-ZC-2021–004].
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