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Updated: Sep 8, 2025

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HFpEFにおける人工知能:診断,予測,管理戦略

Jeong-Eun Yi1, Jung Sun Cho2

  • 1Department of Cardiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea; Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Journal of cardiology
|September 6, 2025
PubMed
まとめ

人工知能と機械学習は,保存されたエジェクション分数 (HFpEF) のケアで心不全を改善することができます. これらの技術は早期診断,パーソナライズされた治療,HFpEF管理におけるより良い患者モニタリングの可能性を秘めています.

キーワード:
人工知能発射分子が保存された心不全機械学習

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