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核心脏病学中的人工智能:最新情况和未来趋势

Robert J H Miller¹, Piotr J Slomka²

¹Departments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA; Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada.

Seminars in nuclear medicine

|March 23, 2024

概括

人工智能 (AI) 通过提高图像质量和减少辐射来增强心肌输液成像 (MPI). 人工智能应用范围从获取到风险预测,优化心脏诊断.

科学领域:

心脏病学心脏病学
医疗成像医学成像
人工智能的人工智能

背景情况:

使用SPECT或PET进行心肌输液成像 (MPI) 是用于疾病检测和风险分层的心脏诊断的基石.
MPI的工作流包括多个阶段,为技术增强提供了机会.

研究的目的:

在心肌输液成像 (MPI) 工作流程中审查人工智能 (AI) 应用的最新进展.
讨论未来的趋势,并最大限度地提高AI在心脏成像中的临床实用性.

主要方法:

对MPI中AI应用的当前文献的审查,涵盖图像采集,重建和分析.
探索AI在细分,减弱校正和风险预测模型中的作用.

主要成果:

人工智能可以提高图像质量,减少辐射暴露,缩短MPI的采集时间.
人工智能在图像重建过程中促进了运动校正,图像注册和衰减校正.
人工智能有助于细分解剖特征并产生合成衰减成像.
人工智能通过整合各种临床和成像变量来协助疾病诊断和风险预测.

结论:

人工智能为增强MPI工作流的各个阶段提供了巨大的潜力,从图像采集到临床报告.
人工智能在MPI中的未来应用有望最大限度地提高诊断准确性和预后能力,特别是混合成像技术.

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