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Global research landscape on artificial intelligence in arthroplasty: A bibliometric analysis
Zhuo Li1,2, Zulipikaer Maimaiti2, Jun Fu2,3
1School of Medicine, Nankai University, Tianjin, People's Republic of China.
Digital Health
|June 26, 2023
Summary
Artificial intelligence (AI) in arthroplasty research is rapidly expanding. Bibliometric analysis reveals key trends and highlights the need for increased global collaboration to advance AI applications in joint replacement outcomes.
Area of Science:
- Orthopedics
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) presents significant potential for advancing arthroplasty procedures and research.
- The exponential growth in AI publications necessitates a comprehensive bibliometric analysis to understand the field's trajectory.
Purpose of the Study:
- To conduct a bibliometric analysis of research on artificial intelligence in arthroplasty.
- To identify key trends, influential publications, and collaboration patterns in AI-driven arthroplasty research from 2000-2021.
Main Methods:
- Bibliometric analysis of 867 publications from 2000-2021.
- Utilized Citespace, VOSviewer, and R software (Bibliometrix) for systematic evaluation of countries, institutions, authors, journals, and keywords.
- Assessed publication trends and collaborative networks.
Main Results:
- Exponential growth in AI publications within arthroplasty over 22 years.
- The United States leads in productivity and influence; Cleveland Clinic is the most prolific institution.
- Emerging trends include machine learning, deep learning, and research on clinical outcomes, with noted deficiencies in inter-regional and inter-institutional collaboration.
Conclusions:
- Artificial intelligence in arthroplasty is a rapidly evolving field.
- Enhanced collaboration across regions and institutions is crucial for advancing AI applications in arthroplasty.
- Predicting clinical outcomes using novel AI strategies shows promise for future arthroplasty research.
