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成長を超えて:人工知能臨床試験における世界的な不均衡の登録ベースの分析
1Department of Oriental Neuropsychiatry, Dong-Eui University College of Korean Medicine, 52-57, Yangjeong-ro, Busanjin-gu, Busan 47227, Republic of Korea.
Healthcare (Basel, Switzerland)
|August 28, 2025
まとめ
人工知能 (AI) の臨床試験は急速に拡大しているが,地域的には主に中国に集中している. 国際協力の低さは グローバルな保健の公平性と AI技術の一般化を妨げています
科学分野:
- 臨床研究
- 人工知能
- 世界保健
背景:
- 臨床研究における 人工知能 (AI) の統合は加速しています
- 全世界のAI臨床試験の分析は限られている.
- この研究は,AIの臨床試験を初めて体系的に特徴づけるものです.
研究 の 目的:
- AI臨床試験のグローバルトレンドをマップする.
- 地理的およびテーマ的集中パターンを特定する.
- AI研究における国際協力の構造を分析する.
主な方法:
- 世界保健機関 (WHO) の国際臨床試験登録プラットフォーム (ICTRP) で検索しました.
- 62カ国の596件のAI臨床試験を スクリーニングして分析した.
- タイム,地理,コラボレーションパターンの記述統計とネットワーク分析を使用しました.
主要な成果:
- AI臨床試験の登録は 2020年以降 指数関数的に増加しています
- 極端な地理的集中が認められ,中国 (35.6%) がリードし,米国 (8.5%) が次いでいる.
- 研究は胃腸内科 (22. 8%) と腫瘍学 (20. 1%) に焦点を当て,診断支援 (45. 6%) が主な応用分野である. 国際的な協力は低い (8.7%).
結論:
- 世界的なAI臨床試験の状況では 急速だが不均衡な成長が見られます
- 地域的集中と国際的協力の欠如が グローバルな健康の公平性を脅かしています
- 公平なAIの恩恵を確実にするために 包摂的で透明で協力的な研究モデルが必要です
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