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Developing and validating an explainable clinlabomics-based machine-learning model for screening primary angle-closure glaucoma in the context of PPPM

Crossref DOI link: https://doi.org/10.1007/s13167-025-00419-2

Published Online: 2025-08-26

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

Authors

Li, Zhuqing

Ren, Jun

Wu, Jianing

Li, Yingzhu

Song, Yunxiao

Zhang, Mengyu

Li, Shengjie

Cao, Wenjun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82302582)

Shanghai Municipal Health Commission Project (20224Y0317)

Higher Education lndustry-Academic-Research lnnovation Fund of China (2023JQ006)
License Information

Text and Data Mining valid from 2025-08-26

Version of Record valid from 2025-08-26
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Article History

Received: 18 June 2025

Accepted: 10 August 2025

First Online: 26 August 2025

Declarations

:

: The ethical aspects of this research were reviewed and approved by the Institutional Ethics Committee of Eye and ENT Hospital of Fudan University. All study procedures were performed in strict adherence to the ethical standards set forth in the Declaration of Helsinki. Prior to participation, comprehensive written informed consent was secured from all subjects following a detailed explanation of the study’s purpose, procedures, potential risks, and benefits.

: Not applicable.

: The authors declare no competing interests.

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