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An autopsy-based cardiac lesion evaluation system facilitates quantitative diagnosis of sudden cardiac death: development and multicenter validation of a machine learning model

Crossref DOI link: https://doi.org/10.1186/s12916-025-04529-6

Published Online: 2025-11-26

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

Authors

Li, Chao

Mao, Danmi

Tan, Xiaohui

Cao, Zhipeng

Yue, Jiacheng

Xia, Bing

Li, Wei

Liu, Donghong

Ye, Weiquan

Wang, Zhenyuan

Li, Yang

Meng, Yunle

Fang, Ying

Yao, Hui

Zhao, Shuquan

Zheng, Da

Mai, Tingting

Zhou, Ming

Shen, Jiayi

Luo, Bin

Tang, Shuangbo

Liu, Xiaoshan

Liu, Shuiping

Quan, Li

Liu, Chao

Huang, Erwen
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2023YFC3303902)
License Information

Text and Data Mining valid from 2025-11-26

Version of Record valid from 2025-12-30
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Article History

Received: 30 May 2025

Accepted: 13 November 2025

First Online: 26 November 2025

Declarations

:

: The study was approved by the Medical Ethics Committee of Sun Yat-sen University (Approval No. 2024–062) and the First Affiliated Hospital of Sun Yat-sen University (Approval No. 2024–599). Informed consents were obtained from the bereaved of victims in forensic centers and patients in the clinical cohort.

: Not applicable.

: The authors declare no competing interests.

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