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Predicting de novo humeral neck fractures and iatrogenic displacement during shoulder dislocation reduction: an interpretable machine learning approach

Crossref DOI link: https://doi.org/10.1186/s40001-026-04539-x

Published Online: 2026-05-16

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

Authors

Chen, Jiange

Zhang, Haining

Ye, Yuntian

Zhao, Hongzhou

Liu, Aifeng
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (82474538)

Second Batch of High-Level Health and Medical Talent Program in Tianjin (TJSJMYXYC-D2-028-2025)
License Information

Text and Data Mining valid from 2026-05-16

Accepted Manuscript valid from 2026-05-16
More Information

Article History

Received: 2 December 2025

Accepted: 26 April 2026

First Online: 16 May 2026

Declarations

:

: This study was conducted in accordance with the Declaration of Helsinki and was approved by the Medical Ethics Committee of Tianjin Hospital (Approval No. 2024YLS119). Given the retrospective nature of the study, informed consent was not required by the Institutional Review Board. Patient data were anonymized to ensure confidentiality and used exclusively for research purposes.

: The authors declare no competing interests.

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