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Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A
Miao Gong1, Yingsong Jiang1, Yingshuo Sun2
1Department of Hepatobiliary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
International Journal of Medical Informatics
|January 6, 2025
Summary
Artificial intelligence (AI) is rapidly advancing solid organ transplantation (SOT) research, focusing on areas like robotic surgery and precision medicine. Continued collaboration is key to overcoming challenges and improving patient outcomes in SOT.
Area of Science:
- Bibliometric analysis of scientific literature.
- Exploration of Artificial Intelligence (AI) applications in healthcare.
Background:
- Solid organ transplantation (SOT) is crucial for end-stage organ failure but faces challenges like organ shortage and rejection.
- Artificial intelligence (AI) presents opportunities to enhance SOT outcomes through improved matching, prediction, and automation.
- The specific evolution and impact of AI in SOT research require detailed investigation.
Purpose of the Study:
- To conduct a bibliometric analysis of research on Artificial Intelligence in Solid Organ Transplantation.
- To identify key trends, research hotspots, and influential contributors in the field.
- To map the evolution and impact of AI applications within SOT.
Main Methods:
- Bibliometric analysis of 821 articles from the Web of Science Core Collection.
- Descriptive statistics using Microsoft Excel 2021.
- Visualization and analysis using VOSviewer, CiteSpace, Scimago Graphica, and Biblioshiny.
- Sankey diagrams generated with the ggalluvial package in R.
Main Results:
- Significant expansion of AI applications in SOT, including robotic surgery, organ allocation, outcome prediction, immunosuppression management, and precision medicine.
- AI optimizes organ matching for improved fairness and robotic surgery enhances transplant outcomes.
- Machine learning models predict patient outcomes, guide treatment, and enable personalized immunosuppression and precision diagnostics.
Conclusions:
- AI holds transformative potential for SOT, with major contributions from the USA, Canada, and the UK.
- Key institutions like the University of Toronto and University of Pittsburgh are leading research efforts.
- Addressing ethical concerns, bias, and data integration, alongside fostering collaboration, is vital for clinical AI integration and improved patient outcomes.
