核心脏成像中的人工智能:新进展,新兴技术和最近的临床试验
Ilana S Golub1, Abhinav Thummala1, Tyler Morad1
1David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Journal of clinical medicine
|March 27, 2025
概括
人工智能 (AI) 正在彻底改变用于心脏诊断的核医学 (NM). 人工智能增强了心肌输液成像 (MPI) 以提高冠状动脉疾病 (CAD) 的诊断和预测结果的准确性.
科学领域:
- 心血管成像和人工智能.
- 核医学和机器学习应用.
背景情况:
- 心血管疾病 (CVD) 是全球主要的死亡原因,缺血性心脏病是主要的驱动因素.
- 心肌输液成像 (MPI) 是冠状动脉疾病 (CAD) 的关键诊断工具,但需要取得进展.
- 人工智能 (AI),包括机器学习 (ML) 和深度学习 (DL),为解释复杂的心脏成像数据提供了新的途径.
研究的目的:
- 审查核医学中用于心脏诊断的AI应用的最新进展.
- 探索人工智能在核医学 (AI-NM) 的演变,技术和临床影响.
- 检查AI-NM在提高诊断准确性,风险分层和CAD患者结果方面的作用.
主要方法:
- 这篇叙事综述综合了最近关于人工智能在核医学中的研究,用于心脏成像.
- 它检查了应用到MPI数据的ML和DL等AI技术.
- 该审查涵盖了AI-NM对图像采集,处理,解释和临床试验的影响.
主要成果:
- 人工智能算法显著改善图像重建,并减少MPI中的噪音.
- 人工智能提高了心脏核医学中的诊断准确性,一致性和效率.
- 在CAD患者的风险分层和结果预测方面,AI-NM展示了具有开创性的潜力.
结论:
- 人工智能正在迅速改变心脏诊断,在效率和准确性方面提供了显著的改进.
- 人工智能-NM对更好的患者管理和心血管疾病的结果具有重大承诺.
- 为了广泛实施,需要进一步探索AI-NM的技术和临床挑战.
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