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The automatic detection of diabetic kidney disease from retinal vascular parameters combined with clinical variables using artificial intelligence in type-2 diabetes patients

Crossref DOI link: https://doi.org/10.1186/s12911-023-02343-9

Published Online: 2023-10-30

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shi, Shaomin

Gao, Ling

Zhang, Juan

Zhang, Baifang

Xiao, Jing

Xu, Wan

Tian, Yuan

Ni, Lihua

Wu, Xiaoyan
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Text and Data Mining valid from 2023-10-30

Version of Record valid from 2023-10-30
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Article History

Received: 14 June 2023

Accepted: 16 October 2023

First Online: 30 October 2023

Declarations

:

: The study protocol was approved by the Ethics Committee of Xiangyang Central Hospital, an affiliated hospital of Hubei University of Arts and Science (Ethics batch number: XYSZXYY-LLDD-PJ-2022–034). The study was registered at the Chinese Clinical Trial Center (Registration number: ChiCTR2200060132) and performed in accordance with the guidelines of the Declaration of Helsinki. Private personal information was removed during the process of analysis. The need for informed consent was waived by the Ethics Committee of Xiangyang Central Hospital, an affiliated hospital of Hubei University of Arts and Science, because of the retrospective nature of the study.

: Not applicable.

: The authors declare no competing interests.

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