Deep learning for predicting lumbar segmental instability using neutral lateral lumbar radiographs: a retrospective study.

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Bibliographic Details
Title: Deep learning for predicting lumbar segmental instability using neutral lateral lumbar radiographs: a retrospective study.
Authors: Song J; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China., Du J; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China., Liu S; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China., Chen J; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China., Zhang D; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China. 462570672@qq.com., Feng SQ; 154 Anshan Road, Heping District, Tianjin, China, 300052, Tianjin Medical University General Hospital, Tianjin, China. sqfeng@tmu.edu.cn.
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] 2026 Jun 13. Date of Electronic Publication: 2026 Jun 13.
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
Description
ISSN:1432-0932
DOI:10.1007/s00586-026-10092-2