Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation
The proposed data transformation approach effectively addressed data heterogeneity, significantly improving the accuracy and robustness of SpineHRNet+ in multicenter AIS assessments. The real-time processing capability and preservation of anatomical integrity underscore the method's clinical practicality, enabling scalable and reliable AI applications in diverse health care environments.
Authors
- Zhen Bian
- Nan Meng (ORCID: https://orcid.org/0000-0003-2821-7474)
- Chaojun Zheng (ORCID: https://orcid.org/0000-0002-1165-2528)
- Cong Nie
- Pengyu Lu (ORCID: https://orcid.org/0009-0004-8659-7772)
- Jian‐Guo Zhang (ORCID: https://orcid.org/0000-0001-6020-6148)
- Jason Pui Yin Cheung (ORCID: https://orcid.org/0000-0002-7052-0875)
- Zheng Gong (ORCID: https://orcid.org/0000-0001-6651-5582)
- Yipeng Zhuang (ORCID: https://orcid.org/0009-0009-4109-6073)
- Qifeng Yu (ORCID: https://orcid.org/0000-0002-1101-1093)
- Xihe Kuang (ORCID: https://orcid.org/0000-0002-4696-5284)
- Tao Huang (ORCID: https://orcid.org/0000-0002-3545-1122)
- Teng Zhang (ORCID: https://orcid.org/0000-0002-7729-8023)
- Zhe Chen (ORCID: https://orcid.org/0000-0001-5004-8975)
- Guilin Chen (ORCID: https://orcid.org/0000-0002-8436-0673)
- Hui Jiang (ORCID: https://orcid.org/0000-0003-4062-7206)
- Zhongmin Zhang (ORCID: https://orcid.org/0000-0002-8044-0326)
- Liang Yu (ORCID: https://orcid.org/0009-0007-3922-3454)
- Jiawei Shi (ORCID: https://orcid.org/0009-0007-8850-9926)
- Zefu Chen (ORCID: https://orcid.org/0009-0002-9019-8788)
Institutions
- Chinese University of Hong Kong (HK)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Fudan University (CN)
- Peking Union Medical College Hospital (CN)
- Ruijin Hospital (CN)
- Beijing Jishuitan Hospital (CN)
- Huashan Hospital (CN)
- Southern Medical University (CN)
- University of Hong Kong (HK)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-11-07
- DOI
- https://doi.org/10.2196/78396
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00