専門家レベルの確率的呼吸イベント検出器が睡眠時無呼吸の表現型分類を可能にする
Magnus Ruud Kjaer1,2,3, Umaer Hanif4, Andreas Brink-Kjaer5
1Department of Health Technology, Technical University of Denmark, Kgs, Lyngby, Denmark. magnusrk@stanford.edu.
Nature communications
|February 9, 2026
まとめ
新しい深層学習モデルは、閉塞性無呼吸や低呼吸などの睡眠時呼吸障害イベントを自動的に検出し分類します。この「アプノタイピング」アプローチは、患者の転帰を改善するための診断精度と個別化治療を向上させます。
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