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Artificial intelligence applications in bone fractures: A bibliometric and science mapping analysis.
Sen Zhong1, Xiaobing Yin2, Xiaolan Li3
1Department of Orthopedic, Spinal Pain Research Institute, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Digital Health
|September 11, 2024
Summary
Artificial intelligence (AI) in fracture diagnosis is rapidly advancing, showing capabilities on par with orthopedic surgeons. This bibliometric analysis reviews AI
Area of Science:
- Orthopedics
- Medical Imaging
- Artificial Intelligence
Background:
- Bone fractures represent a significant global health and economic challenge.
- Artificial intelligence (AI) applications in fracture diagnosis are rapidly evolving.
- AI demonstrates diagnostic capabilities comparable to orthopedic surgeons.
Purpose of the Study:
- To conduct a bibliometric analysis of AI in fracture research.
- To review the development and applications of AI in the fracture field.
- To identify research hotspots and future trends in AI for fracture analysis.
Main Methods:
- Bibliometric analysis of publications from 1990 onwards.
- Data sourced from Web of Science Core Collections.
- Visualization and analysis using CiteSpace and Bibliometrix R package.
Main Results:
- 1063 publications analyzed, with rapid growth since 2017.
- China leads in publications; the United States leads in citations.
- Technical University of Munich and Doornberg JN are highly productive; Scientific Reports is a key journal.
Conclusions:
- AI applications in fracture management show outstanding results and future potential.
- Bibliometric analysis provides insights into the knowledge structure and trends.
- This study aims to guide researchers in advancing AI applications for fractures.
