A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury.
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| Title: | A multimodal machine learning model integrating clinical and MRI data for predicting neurological outcomes following surgical treatment for cervical spinal cord injury. |
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| Authors: | Shimizu T; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan. tomoaki.shimizu.96@gmail.com.; University of Tsukuba, Tsukuba, Japan. tomoaki.shimizu.96@gmail.com., Inomata K; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan.; University of Tsukuba, Tsukuba, Japan., Suda K; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Matsumoto Harmon S; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Komatsu M; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Ota M; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Ushirozako H; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Minami A; Hokkaido Spinal Cord Injury Center, Hokkaido, Japan., Maki S; Chiba University, Chiba, Japan., Endo T; Hokkaido University, Sapporo, Japan., Yamada K; Hokkaido University, Sapporo, Japan., Iwasaki N; Hokkaido University, Sapporo, Japan., Takahashi H; University of Tsukuba, Tsukuba, Japan., Yamazaki M; University of Tsukuba, Tsukuba, Japan., Koda M; University of Tsukuba, Tsukuba, Japan. |
| Source: | European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society [Eur Spine J] 2025 Sep; Vol. 34 (9), pp. 3747-3755. Date of Electronic Publication: 2025 Apr 22. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 9301980 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0932 (Electronic) Linking ISSN: 09406719 NLM ISO Abbreviation: Eur Spine J Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1432-0932 |
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| DOI: | 10.1007/s00586-025-08873-2 |
