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Authors
Ye, Sheng
Yi, Jiang-Bi
Li, De-Li
Wu, Fu-Jun
Ji, Wen-Jun
Du, Qian
Xin, Zhi-Jun
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Funding
Funding for this research was provided by:
Guizhou Provincial Science and Technology Program Project (Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003, Qiankehe Achievement-LC[2023]003)
the Basic Research Program of Guizhou Provincial Department of Science and Technology (Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347, Qiankehe Foundation-ZK [2024] General-347)
the Science and Technology Plan Projects of Zunyi City, Feasibility Study on Establishing a Degenerative Cervical Spinal Stenosis Detection and Grading Model Based on Artificial Intelligence (Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432, Zunshi Kehe HZ (2024) No. 432)
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Article History
Received: 6 June 2025
Revised: 27 July 2025
Accepted: 24 August 2025
First Online: 18 September 2025
Declarations
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: This study approved by the Ethics Committee of The Affiliated Hospital of Zunyi Medical University (KLL-2022-551) in 2022. All patients signed informed consent forms. All methods were performed in accordance with the relevant guidelines and regulations.
: Not Applicable.
: The authors declare no competing interests.
: ChiCTR1900027083. Registered 31 Oct. 2019. Trial registry: Chinese Clinical Trial Registry.
