人工智能模型预测对心脏再同步治疗的反应:系统性审查
Wojciech Nazar1, Stanisław Szymanowicz2, Krzysztof Nazar3
1Faculty of Medicine, Medical University of Gdańsk, Marii Skłodowskiej-Curie 3a, 80-210, Gdańsk, Poland.
Heart failure reviews
|October 20, 2023
概括
人工智能 (AI) 模型在预测心脏再同步治疗 (CRT) 响应方面表现有希望,比目前的指导方针提供更高的准确性. 这些人工智能工具可以改善患者的选择和结果.
科学领域:
- 心脏病学 心脏病学
- 医疗人工智能 医疗人工智能
- 生物医学信息学 生物医学信息学
背景情况:
- 心脏再同步疗法 (CRT) 改善了心力衰竭患者的治疗结果.
- 目前用于预测CRT响应的指导方针存在局限性.
- 准确的患者表型确定对于成功的CRT植入至关重要.
研究的目的:
- 系统地审查有关预测CRT响应的人工智能 (AI) 模型的文献.
- 评估AI在CRT患者表型化中的临床适用性.
- 将AI模型的准确性与当前基于指南的预测进行比较.
主要方法:
- 在遵守PRISMA指南的基础上进行系统审查.
- 在Scopus,PubMed,Cochrane图书馆和Embase数据库中进行了搜索.
- 对22项研究 (14,258名患者) 的定性分析,包括20个监督和9个无监督AI模型.
主要成果:
- 监督人工智能模型在预测CRT响应方面达到高达85%的准确性和0.86AUC,超过了70%的指导准确性.
- 无监督的人工智能模型识别了具有显著不同事件率的患者集群.
- 分析的AI模型中有55%是基于回顾性数据.
结论:
- 人工智能模型在预测CRT反应和表型患者方面表现出高准确度和临床适用性.
- 人工智能有可能提高CRT响应率超过80%并改善患者的预后.
- 进一步验证随机对照试验是必要的,以证实这些发现.
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