関連する実験動画

Updated: Sep 10, 2025

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

17.4K

静脈血栓塞栓症の症状識別のための抽出ツール 電子的な臨床品質測定レポートを容易にするための初等医療ノート:アルゴリズムの開発と検証研究

John Novoa-Laurentiev1, Mica Bowen1, Avery Pullman1

  • 1Department of Medicine, Brigham & Women's Hospital, 75 Francis Street, Boston, MA, 02115, United States, 1 8572824088.

JMIR medical informatics
|August 26, 2025
PubMed
まとめ

新しい自然言語処理 (NLP) ツールであるVTExtは,臨床ノートから静脈血栓塞栓症 (VTE) の症状を正確に抽出します. これにより,初等医療における より質の高い測定と 早期のVTE診断が可能になります.

キーワード:
AI についてNLPについてVTE についてアルゴリズム開発アルゴリズムの検証人工知能クリニカルノート臨床的品質について診断する電子的な臨床品質測定法抽出する抽出ツール自然言語処理プライマリケア血栓塞栓症早期診断ツール静脈血栓塞栓症

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