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Updated: Sep 9, 2025

Author Spotlight: Development of a Minimally Invasive Large-Animal Model for Reliable and Reproducible Cardiovascular Research
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人工知能による大動脈狭窄の進行予測:機械学習モデル

Edward Itelman1, Yaron Shapira1, Alon Shechter1

  • 1Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel; Tel Aviv School of Medicine, Tel Aviv University, Tel Aviv, Israel.

JACC. Advances
|August 29, 2025
PubMed
まとめ

エコーカルディオグラフィーのレポートを用いた人工知能モデルは,大動脈狭窄症 (AS) から重症ASへの進行を予測できます. このツールは,パーソナライズされた患者管理のための早期のリスク識別に役立ちます.

キーワード:
大動脈狭窄症人工知能エコーカルディオグラフィー機械学習リスク予測バルブ病の進行

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