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Application of Artificial Intelligence in Cardiology: A Bibliometric Analysis
Abubakar I Sidik1, Roman N Komarov2, Sidique Gawusu3
1Cardiothoracic and Vascular Surgery, RUDN University, Moscow, RUS.
Cureus
|September 16, 2024
Summary
This study analyzes artificial intelligence (AI) in cardiology research over the last decade. It identifies leading countries, institutions, and authors shaping AI
Area of Science:
- Cardiology
- Medical Informatics
- Artificial Intelligence
Background:
- Artificial intelligence (AI) has seen significant medical applications over 30 years.
- Monitoring AI research trends is crucial for understanding medical advancements.
- Cardiology is a key area for AI integration in healthcare.
Purpose of the Study:
- To conduct a bibliometric analysis of AI applications in cardiology.
- To identify recent trends in AI adoption within cardiovascular medicine.
- To map key research areas, authors, institutions, and countries in AI and cardiology.
Main Methods:
- Bibliometric analysis of journal articles from Scopus and Web of Science.
- Focus on literature published within the last decade.
- Quantitative and statistical evaluation of research output.
Main Results:
- Identified leading research institutions and influential authors in AI and cardiology.
- Highlighted key countries contributing to AI in cardiology research: United States, United Kingdom, and China.
- Mapped prominent journals, keywords, and emerging trends in the field.
Conclusions:
- The study provides a comprehensive overview of AI's evolution in cardiology.
- It offers insights into the global research landscape of AI in cardiovascular medicine.
- Researchers can use this analysis to understand current developments and future directions.
