Artificial Intelligence‐Enhanced Quantitative <scp>3D</scp> Analysis of Distal Radioulnar Ligament Insertion Footprints of the Triangular Fibrocartilage Complex With Interactive Validation
Compared to direct measurement and 3D scan, the AI algorithms developed and validated for wrist MRI image enhancement demonstrated high accuracy and reliability in anatomical measurements of DRULs.
Authors
- Yile Feng
- Zhe Yi (ORCID: https://orcid.org/0000-0001-7788-8165)
- Aijie Zhang
- Jia He (ORCID: https://orcid.org/0000-0001-7586-4127)
- Ge Yang (ORCID: https://orcid.org/0000-0003-0918-7329)
- Jun Huang (ORCID: https://orcid.org/0009-0006-8549-4098)
- Yantao Pei
- Shuai Wang (ORCID: https://orcid.org/0009-0002-7506-5426)
- L. Zhu
- Wei Chen
- Weichen Wang
- Bo Liu
- Lincoln Jian Rong Lim
- Rebecca Qian Ru Lim
Institutions
- Capital Medical University (CN)
- Peking University (CN)
- Singapore General Hospital (SG)
- Beijing Jishuitan Hospital (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Footscray Hospital (AU)
- Beijing Institute of Neurosurgery (CN)
- Qilu Hospital of Shandong University (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Orthopaedic Surgery
- Published
- 2025-12-30
- DOI
- https://doi.org/10.1111/os.70231
- Primary Topic
- Orthopedic Surgery and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Beijing Municipal Health Commission