心電図解釈のための基盤モデル:臨床的意義
Alexis Nolin-Lapalme1,2,3,4, Achille Sowa1,2,4, Jacques Delfrate2,4
1Department of Biochemistry and Molecular Medicine, Faculty of Medicine, University of Montreal, Montreal, Quebec, Canada H3C 3J7.
European heart journal
|January 22, 2026
まとめ
本研究では、心電図(ECG)解釈のための2つのオープンソース人工知能(AI)モデルを紹介します。自己教師あり学習(SSL)は、特にデータが限られている場合の心臓ケアにおけるAI診断の改善に有望です。
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