心脏缺血的数字革命:人工智能 (AI) 增强的检测,诊断和风险分层
Ahmed Khalifa1, Mostafa Abdulaziz2, Syed Shahzil Parvez3
1Cardiology, Frimley Park Hospital, Frimley Health NHS Foundation Trust, Frimley, GBR.
Cureus
|November 24, 2025
概括
人工智能 (AI) 彻底改变了心脏缺血诊断,在检测心肌梗塞和评估狭窄症方面超过了传统方法. 人工智能工具承诺更早的检测,准确的诊断,以及改善患者治疗心脏病的结果.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 对于心脏缺血的传统诊断工具有其局限性.
- 人工智能 (AI) 提供了克服这些局限性的新方法.
- 机器学习和深度学习 (DL) 正在推进心脏诊断.
研究的目的:
- 审查人工智能对心脏缺血病诊断和管理的影响.
- 突出AI在各种心脏成像模式中的能力.
- 讨论人工智能在改善患者治疗结果方面的潜力.
主要方法:
- 在分析冠状动脉CT血管学中的AI应用,用于斑块量化和狭窄.
- 用于分量流量储备计算的DL算法.
- 在心脏MRI和 perfusion成像中用于心肌细分和缺血检测的AI.
- 集成可穿戴设备的连续监控.
主要成果:
- 人工智能,特别是卷积神经网络,可以高精度地检测心肌梗塞.
- 人工智能自动化了斑块量化和狭窄评估,减少了评估时间.
- 人工智能算法在心脏MRI和 perfusion 成像中实现了专家级别的性能.
- 人工智能增强的工具往往超过传统方法和专家解释.
结论:
- 人工智能正在通过早期检测和准确诊断改变心脏缺血的管理.
- 人工智能可以实现精细的风险分层和个性化的预测模型.
- 尽管面临挑战,但人工智能整合有望显著改善心脏缺血病患者的治疗结果.
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