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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4434) Clinical Informatics (2096) Clinical Information and Decision Making (3439) Machine Learning (2977) Spinal Cord Injury Rehabilitation (94) Data Science (666)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78396, first published .
Doctor analyzing 3D spine model with futuristic medical data displays

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation

Authors of this article:

Guilin Chen1 Author Orcid Image ;   Nan Meng2 Author Orcid Image ;   Yipeng Zhuang2 Author Orcid Image ;   Zhe Chen3 Author Orcid Image ;   Zhen Bian4 Author Orcid Image ;   Zhaoyang Gong5 Author Orcid Image ;   Jiawei Shi6 Author Orcid Image ;   Tao Huang2 Author Orcid Image ;   Xihe Kuang2 Author Orcid Image ;   Pengyu Lu2 Author Orcid Image ;   Cong Nie2 Author Orcid Image ;   Qifeng Yu5 Author Orcid Image ;   Zefu Chen6 Author Orcid Image ;   Hui Jiang6 Author Orcid Image ;   Zhongmin Zhang6 Author Orcid Image ;   Chaojun Zheng5 Author Orcid Image ;   Yu Liang3 Author Orcid Image ;   Nan Wu1 Author Orcid Image ;   Jason Pui Yin Cheung2 Author Orcid Image ;   Jianguo Zhang1 Author Orcid Image ;   Teng Zhang2 Author Orcid Image
Article Authors Cited by (1) Tweetations (6) Metrics

Journals

  1. Rao C, Wang J, Ma X, Hu M, Zhang J, Xu Y, Zhou W. A Bibliometric Analysis of the Application of Artificial Intelligence in Adolescent Idiopathic Scoliosis. Journal of Biosciences and Medicines 2026;14(06):92 View