Potential of artificial intelligence in the diagnosis and treatment of vertebral compression fractures: A 20-year bibliometric analysis (2004–2023)
AI technologies, especially deep learning and robot-assisted surgery, have become transformative tools in the VCF domain, enhancing diagnostic accuracy and treatment precision. This bibliometric analysis reveals a shift toward technology-driven research paradigms and highlights the critical actors and trends shaping the field. Ongoing interdisciplinary collaboration and clinical validation are essential to fully realize AI's potential of AI in orthopedic care and improve patient outcomes.
Authors
- Peng Qiu (ORCID: https://orcid.org/0000-0003-3256-0734)
- Xue-Feng Ma
- Dongxia Chen (ORCID: https://orcid.org/0000-0003-2498-0819)
- Hang Ren
Institutions
- Shenzhen Pingle Orthopedic Hospital (CN)
Publication Details
- Journal
- Medicine
- Published
- 2025-10-03
- DOI
- https://doi.org/10.1097/md.0000000000044876
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00