Crossmark

Leveraging small-sample machine learning for rigorous prediction of JOA recovery in cervical spondylotic myelopathy patients: insights from imaging parameters and modeling strategies

Crossref DOI link: https://doi.org/10.1007/s00586-025-08763-7

Published Online: 2025-03-07

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

Authors

Li, Zhangfu

Feng, Zihe

Yang, Honghao

Hai, Yong
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2022YFC2407206)

Organized research projects of Capital Medical Science Innovation Center (CX23YZ09)
License Information

Text and Data Mining valid from 2025-03-07

Version of Record valid from 2025-03-07
More Information

Article History

Received: 10 December 2024

Revised: 13 February 2025

Accepted: 23 February 2025

First Online: 7 March 2025

Declarations

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below