人工智能和静脉血栓栓塞:应用,益处和局限性的叙述性审查
Aya Mudrik1, Orly Efros2,3
1Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Acta haematologica
|April 8, 2025
概括
人工智能 (AI) 可以通过加强风险评估和诊断来改善静脉血栓塞栓症 (VTE) 护理. 虽然人工智能在VTE管理方面表现有前途,但数据偏差和透明度等挑战需要解决,以实现有效的临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 心血管医学 心血管医学
- 人工智能的人工智能
背景情况:
- 静脉血栓塞栓症 (VTE) 是导致心血管疾病和死亡的重要原因.
- 人工智能 (AI) 在VTE风险分层,诊断和管理方面提供了潜在的进步.
研究的目的:
- 审查人工智能在VTE管理中的应用,好处和局限性.
- 探索AI在改善静脉瘤预防,早期检测和整体患者护理方面的作用.
主要方法:
- 对VTE中的AI应用现有文献的叙述性综述.
- 与传统方法相比,对AI模型性能进行分析.
- 检查人工智能驱动的诊断工具,包括超声波和CT图像处理.
主要成果:
- 人工智能模型在识别VTE预防的高风险患者方面表现优于传统方法.
- 人工智能通过人工智能引导的超声波和CT图像分析,在早期检测VTE方面证明有效.
- 人工智能集成有可能降低成本,并简化VTE护理中的诊断过程.
结论:
- 人工智能有可能显著提高VTE风险分层和诊断.
- 将人工智能有效地集成到临床工作流中需要解决诸如可解释性,隐私和算法偏差等局限性.
- 克服挑战对于在VTE管理中安全有效地实施AI至关重要.
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