冠動脈リスクを人工知能で分層化するための多パラメータ予後スコアの開発の重要性
Guillermo Romero-Farina1,2,3,4,5, Santiago Aguadé-Bruix6,7, C David Cooke8,9
1Nuclear Medicine DepartmentVall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain. guiromfar@gmail.com.
European journal of nuclear medicine and molecular imaging
|August 29, 2025
まとめ
臨床データと心臓画像を統合した多パラメータスコアは,心血管リスクの階層化を改善します. 人工知能 (AI) の統合は,より良い臨床意思決定のためのこれらの予後ツールを強化します.
科学分野:
- 心臓病科
- 医療情報学
- 人工知能
背景:
- 発症率と死亡率の予測には 心血管リスクの階層化が不可欠です
- 現在のリスク評価方法は,多パラメータスコアによって強化できます.
- 人工知能 (AI) は様々な種類のデータを統合する可能性を秘めています.
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