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現代臨床診療における人工知能（レビュー）

Krupa Sara Thomas1, Sudeep Edpuganti1, Divina Mariya Puthooran1

  • 1Department of Medicine, Faculty of Medicine, Tbilisi State Medical University, Tbilisi 0177, Georgia.

Medicine international
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まとめ

人工知能（AI）は、意思決定支援、画像解析、個別化医療を通じて臨床診療を強化します。ただし、データバイアス、倫理的懸念、規制のギャップなどの課題には、安全な導入のために慎重な実装が必要です。

キーワード:
人工知能心臓病学臨床意思決定支援深層学習デジタル病理学ヘルスケア倫理機械学習医用画像精密医療ロボット手術

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科学分野:

  • 医療情報学
  • 計算医学
  • デジタルヘルス

背景:

  • 人工知能（AI）は、ルールベースシステムから洗練された機械学習および深層学習モデルへと進化しました。
  • 大規模な臨床データの利用可能性の増加が、ヘルスケアへのAIの統合を促進しています。

研究 の 目的:

  • 現代の臨床診療における人工知能（AI）の現在の役割をレビューする。
  • ヘルスケアにおけるAIの導入に伴う機会と課題を特定する。

主な方法:

  • 医学におけるAIアプリケーションに関する最近の研究を統合した文献レビュー。
  • 様々な医療専門分野および患者ケアに対するAIの影響の分析。

主要な成果:

  • AIツールは、放射線科、病理学、皮膚科などの専門分野において、意思決定支援、予測モデル、ロボット支援、画像解析を提供する。
  • AIは、心臓病学や精密医療における個別化ケアを促進し、診断精度を向上させ、ワークフローを最適化する。
  • リスク層別化画像やリソース配分予測ツールなどが潜在的な応用として含まれる。

結論:

  • AIの統合は、精度向上、タスク最適化、個別化された患者治療を約束します。
  • アルゴリズムのバイアス、「ブラックボックス」問題による信頼性と説明責任への影響、遅れる規制、実装コストなどの重要な課題が含まれます。
  • 安全かつ効果的な導入には、慎重な計画、検証、および多様な関係者間の協力が必要です。