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Determining the risk factors for postoperative mechanical complication in degenerative scoliosis: a machine learning approach based on musculoskeletal metrics

Crossref DOI link: https://doi.org/10.1007/s00586-025-08742-y

Published Online: 2025-02-24

Published Print: 2026-01

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

Authors

Li, Jie

Tian, Zhen

Fang, Yinyu

He, Zhong

Xu, Yanjie

Xu, Hui

Zhu, Zezhang

Qiu, Yong

Liu, Zhen https://orcid.org/0000-0003-2027-8088
Funding

Funding for this research was provided by:

Jiangsu Provincial Key R&D Programme (BE2023658)

Jiangsu Province Excellent Postdoctoral Program (2023ZB294)
License Information

Text and Data Mining valid from 2025-02-24

Version of Record valid from 2025-02-24
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Article History

Received: 12 June 2024

Revised: 6 January 2025

Accepted: 12 February 2025

First Online: 24 February 2025

Declarations

:

: Freely given, informed consent was obtained from these patients in this study for all procedures undertaken and all data obtained.

: The authors have no relevant financial or non-financial interests to disclose.

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