人工智能在核医学和分子影像中的应用：临床转化的现状和未来展望综述。
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.
机构信息
LaTIM, INSERM, UMR 1101, University of Brest, Brest, France.
The D-Lab, Department of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Center (MUMC +), Maastricht, The Netherlands.
出版信息
Eur J Nucl Med Mol Imaging. 2022 Nov;49(13):4452-4463. doi: 10.1007/s00259-022-05891-w. Epub 2022 Jul 9.
Abstract
Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.
摘要
人工智能（AI）将改变核医学和分子成像的面貌，就像它改变日常生活一样。在这篇综述中，我们从物理（放射组学、基础统计学、图像重建和数据分析）和临床（神经病学、心脏病学、肿瘤学）两个角度关注 AI 在该领域的潜在应用。我们正在讨论从研究到临床实践的可转移性的挑战，以及可解释 AI 的概念。最后，我们重点关注那些需要解决的领域，以便以可靠的方式将 AI 引入核医学和分子成像领域。
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