通过人工智能开发多参数预后得分的重要性,以分层冠心风险
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
概括
综合临床数据和心脏成像的多参数评分可以改善心血管风险分层. 人工智能 (AI) 的整合增强了这些预后工具,使得临床决策更好.
科学领域:
- 心脏病学
- 医疗信息学
- 人工智能
背景情况:
- 心血管风险分层对于预测发病率和死亡率至关重要.
- 目前的风险评估方法可以通过多参数得分来加强.
- 人工智能 (AI) 提供了整合不同类型数据的潜力.
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