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Tang, Daiyuan

Xu, Yunrong

Huang, Zaitian

Xiao, Zhenping

Sun, Chenxun

Li, Jingyu

He, Fei

Han, Bing

Zhu, Chen

Funding for this research was provided by:

Clinical Medical Technology Innovation Guidance Project of Hunan Province (2021SK51717)

Major Science and Technology Project of Yunnan Provincial Department of Science and Technology (202402AD080006)

China Postdoctoral Science Foundation (2025M772035)

Henan Provincial Medical Science and Technology Research Joint Venture Project (LHGJ20250299)

National Natural Science Foundation of China (82160417, 82460421, 82272512, 82472463)

Anhui Provincial Key Research and Development Program-Clinical Medical Research Translation Specialization (202304295107020020)

Anhui Provincial Health Research Program (AHWJ2024Aa10144)

Anhui Provincial Scientific Research Compilation Project (2022AH010076)

USTC Research Funds of the Double First-Class Initiative (YD9110002053)

Research Funds of Centre for Leading Medicine and Advanced Technologies of IHM (2023IHM01070, 2023IHM01074)

Predictive modelling of regression after spinal cord injury by fusing machine learning with multimodal data (2025JJ81034)

Innovative Research on Upper Limb Function Assessment and Rehabilitation Technology for Spinal Cord Injury Based on Multimodal Data Integration (2025B038)

Text and Data Mining valid from 2026-02-19

Version of Record valid from 2026-02-27