跳动的心脏:人工智能在心血管领域的临床应用。

IF 2 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Manuel Villegas-Martinez, Victor de Villedon de Naide, Vivek Muthurangu, Aurélien Bustin
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引用次数: 0

摘要

人工智能(AI)集成到心脏磁共振成像中,为推进患者护理、自动化后处理任务以及提高诊断精度和结果提供了令人兴奋的新途径。人工智能的使用通过缩短采集和后处理时间,以及扫描规划和采集参数选择的自动化,大大简化了检查工作流程。这显著提高了检查工作流程的效率,减少了操作员的可变性,并提高了整体图像质量。重要的是,人工智能为实现患者以前无法达到的空间分辨率带来了新的可能性。此外,低剂量和无造影剂成像的潜力代表着向更安全、更方便患者的诊断程序迈进了一步。除了这些优势外,人工智能还能通过熟练分析大量数据集,促进精确的风险分层和预后评估。这篇综合评论文章探讨了人工智能在心脏磁共振成像领域的最新应用,深入剖析了人工智能在该领域的变革潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The beating heart: artificial intelligence for cardiovascular application in the clinic.

The beating heart: artificial intelligence for cardiovascular application in the clinic.

Artificial intelligence (AI) integration in cardiac magnetic resonance imaging presents new and exciting avenues for advancing patient care, automating post-processing tasks, and enhancing diagnostic precision and outcomes. The use of AI significantly streamlines the examination workflow through the reduction of acquisition and postprocessing durations, coupled with the automation of scan planning and acquisition parameters selection. This has led to a notable improvement in examination workflow efficiency, a reduction in operator variability, and an enhancement in overall image quality. Importantly, AI unlocks new possibilities to achieve spatial resolutions that were previously unattainable in patients. Furthermore, the potential for low-dose and contrast-agent-free imaging represents a stride toward safer and more patient-friendly diagnostic procedures. Beyond these benefits, AI facilitates precise risk stratification and prognosis evaluation by adeptly analysing extensive datasets. This comprehensive review article explores recent applications of AI in the realm of cardiac magnetic resonance imaging, offering insights into its transformative potential in the field.

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来源期刊
CiteScore
4.60
自引率
0.00%
发文量
58
审稿时长
>12 weeks
期刊介绍: MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include: advances in materials, hardware and software in magnetic resonance technology, new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine, study of animal models and intact cells using magnetic resonance, reports of clinical trials on humans and clinical validation of magnetic resonance protocols.
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