AIベースのCOVID-19研究における支柱としての放射線学:多様な文献測定分析からの洞察
A Navarro Ballester1, J A Merino Bonilla2, L H Ros Mendoza3
1Departamento de Radiología, Hospital General Universitari de Castelló, Castellón de la Plana, Castellón, Spain.
Radiologia
|February 14, 2026
まとめ
人工知能 (AI) は,特に診断と医療の最適化において,COVID-19の研究に大きな影響を与えました. 図書館計測分析は,この急速に進化する分野における主要な研究テーマと影響力のある出版物を明らかにします.
科学分野:
- ビビロメトリクス (Bibliometrics) とは
- 人工知能 (AI) とは,人工知能 (AI) のことです.
- 公衆衛生は公衆衛生である.
背景:
- COVID-19のパンデミックは,医療における人工知能 (AI) アプリケーションに関する研究を加速した.
- この研究は,COVID-19とAIの研究における知的構造と知識の普及を調査しています.
研究 の 目的:
- COVID-19の研究におけるAIの研究情勢をマッピングする.
- 影響力のある出版物と概念的枠組みを特定する.
- 知識の流れや研究動向を理解する.
主な方法:
- ウェブ・オブ・サイエンスとScopus (8057件の文書) から入手した文献資料.
- トップ1000の引用された論文の記述的引用分析.
- データセット全体の文献学的なカップリング分析.
- R Bibliometrix/BiblioshinyとVOSviewerを使用して分析と視覚化を行いました.
主要な成果:
- オリジナルの研究 (85.21%) が優位で,流行後発症が急増している.
- 中国と米国が出版生産を主導し,国際的な協力が顕著でした.
- 主な研究クラスターは,AI主導の診断と医療資源の最適化です.
- 診断画像とAIアルゴリズムを中心とした影響力のあるテーマ.
結論:
- AIは,特に診断と医療管理において,COVID-19危機に対処する上で重要な役割を果たしてきました.
- 図書館計測分析は,AIの多面的な貢献と将来の研究方向性についての洞察を提供します.
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