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Radiomics-based machine learning model integrating preoperative vertebral computed tomography and clinical features to predict cage subsidence after single-level anterior cervical discectomy and fusion with a zero-profile anchored spacer

Crossref DOI link: https://doi.org/10.1186/s13018-025-06286-x

Published Online: 2025-09-26

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

Authors

Zheng, Bin

Yu, Panfeng

Ma, Ke

Zhu, Zhenqi

Liang, Yan

Liu, Haiying
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Text and Data Mining valid from 2025-09-26

Version of Record valid from 2025-09-26
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Article History

Received: 16 July 2025

Accepted: 2 September 2025

First Online: 26 September 2025

Declarations

:

: This study is conducted in accordance with the ethical principles of the Declaration of Helsinki. The study is reviewed and approved by the Ethics Committee of Peking University People’s Hospital. Consent to Participate declaration are obtained from patients.

: The authors declare no competing interests.

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