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人工智能技术用于外周动脉疾病的预后和诊断评估:一个范围审查

Sebastien Goffart^1,2, Hervé Delingette^1,3, Andrea Chierici^4,5

¹Inria, Epione Team, Université Côte d'Azur, Sophia Antipolis, France.

|January 17, 2025

概括

人工智能 (AI) 提供了诊断外围动脉疾病 (PAD) 和预测患者结果的新方法. 本综述探讨了AI技术,以改善临床实践中的PAD检测,分类和预后评估.

科学领域:

心脏病学心脏病学
医疗信息学医疗信息学
生物医学工程生物医学工程

背景情况:

周围动脉疾病 (PAD) 是一个具有高心血管和四肢事件风险的全球健康问题.
PAD经常被诊断不足,使得患者的预后难以预测.
人工智能 (AI) 提供了增强心血管疾病管理的机会.

研究的目的:

审查目前用于PAD诊断和预后评估的AI技术.
总结用于PAD检测,分类和结果预测的AI方法.
讨论人工智能在PAD中的临床实用性和未来研究方向.

主要方法:

专注于使用人工智能用于PAD诊断和预后的临床研究.
评估AI模型选择,数据集变化,复杂性和可解释性.
在PAD的AI模型中评估了与性能指标相关的挑战.

主要成果:

人工智能方法在PAD检测和分类方面表现有前途.
人工智能模型正在开发,以预测PAD患者的结果.
存在各种人工智能方法,具有不同的优缺点.

结论:

人工智能在PAD管理中具有显著的临床决策支持潜力.
需要进一步的研究来优化人工智能模型并应对实施挑战.
人工智能可以改善PAD患者的诊断和预后预测.

关键词:

人工智能 (AI) 是一种人工智能.诊断诊断诊断诊断诊断诊断机器学习 (ML) 是指机器学习.周围动脉疾病 (PAD)预后预后预后

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