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Artificial Intelligence for Cancer Detection-A Bibliometric Analysis and Avenues for Future Research
Erik Karger1, Marko Kureljusic2
1Information Systems and Strategic IT Management, University of Duisburg-Essen, 45141 Essen, Germany.
Current Oncology (Toronto, Ont.)
|February 24, 2023
Summary
Artificial intelligence (AI) aids early cancer detection, improving patient outcomes. This bibliometric study analyzes 6450 AI in cancer detection articles to guide future research.
Area of Science:
- Oncology
- Medical Informatics
- Computer Science
Background:
- Cancer is a leading cause of global mortality, underscoring the need for early detection.
- Early cancer detection significantly enhances treatment success rates and patient prognosis.
- Artificial intelligence (AI) is emerging as a powerful tool to support clinicians in cancer diagnostics.
Purpose of the Study:
- To conduct a bibliometric analysis of research on artificial intelligence for cancer detection.
- To provide a comprehensive overview of the field, identifying key topics, publications, and institutions.
- To establish a future research agenda for advancing AI in cancer detection.
Main Methods:
- Bibliometric analysis of 6450 research articles.
- Data spanning publication dates from 1986 to 2022.
- Systematic review of literature on AI applications in cancer detection.
Main Results:
- Identified key research themes and trends in AI for cancer detection.
- Mapped influential publications, institutions, and research outlets in the field.
- Revealed a significant growth in research activity over recent years.
Conclusions:
- AI holds substantial promise for improving early cancer detection capabilities.
- The study provides a foundational overview and strategic direction for future research.
- Further investigation into AI applications can accelerate advancements in oncology.
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