Bibliometric analysis of the application of artificial intelligence in orthopedic imaging
The research on the application of AI in orthopedic imaging is a hot topic and indicates broad research prospects in the future. However, this study suggests that research teams should strengthen collaboration, especially international cooperation. Based on comprehensive analysis, the development of DL algorithms (especially CNNs), the use of AI in processing image data related to orthopedic diseases (segmentation, classification, and feature map extraction), and the expansion of AI imaging applications in different diseases are expected to become hotspots in future research on the application of AI in orthopedic imaging.
Authors
- Wei‐Xiang Qi (ORCID: https://orcid.org/0000-0001-5484-3343)
- Zi Ye (ORCID: https://orcid.org/0000-0003-1002-0315)
- Dawei Zhang (ORCID: https://orcid.org/0000-0001-8146-0831)
- Qiang Sun (ORCID: https://orcid.org/0000-0003-3056-2322)
- Yongfeng Chen (ORCID: https://orcid.org/0009-0008-8676-324X)
- Fei Han (ORCID: https://orcid.org/0000-0002-8619-3987)
- Guo Jian-wei
- Xiao Huang (ORCID: https://orcid.org/0009-0007-9277-9208)
Institutions
- Joint Replacement Institute (US)
- Zhumadian Central Hospital (CN)
- Xijing Hospital (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-30
- DOI
- https://doi.org/10.21037/qims-24-1384
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62