核医学成像中的感染与炎症：人工智能的作用。

IF 4.6 2区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Seminars in nuclear medicine Pub Date : 2025-03-22 DOI:10.1053/j.semnuclmed.2025.02.012

Margarita Kirienko , Lara Cavinato , Martina Sollini

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引用次数: 0

摘要

传染病和炎症性疾病是一项全球性挑战。延误诊断和治疗导致死亡、残疾和生活质量受损。低度炎症和隐匿性感染的检测仍然具有挑战性。核医学技术在评估疾病的严重程度和范围方面已经得到了很好的应用。然而，处理和解释图像需要高水平的专业知识。此外，工作流通常是耗时的。基于人工智能（AI）的技术可以有效地应用于这种情况。我们回顾文献，评价人工智能在感染性和炎症性疾病核医学成像中的应用现状。我们纳入了22项研究，这些研究将基于人工智能的方法应用于其工作流程的任何步骤。在这篇综述中，我们报告并批判性地讨论了人工智能模型在感染和炎症核医学成像中的应用的最新知识。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Infection and Inflammation in Nuclear Medicine Imaging: The Role of Artificial Intelligence

Infectious and inflammatory diseases represent a global challenge. Delayed diagnosis and treatment lead to death, disabilities and impairment of the quality of life. The detection of low-grade inflammation and occult infections remains challenging. Nuclear medicine techniques are well established in the assessment of the severity and extent of the disease. However, high-level expertise is required to process and interpret the images. Additionally, the workflows are frequently time consuming. Artificial intelligence (AI)-based techniques can be efficiently applied in this setting. We reviewed the literature to assess the state of the application of AI in nuclear medicine imaging in infectious and inflammatory diseases. We included 22 studies, which applied AI-based methods for any of the steps of their workflow. In this review we report and critically discuss the state-of-the-art knowledge on the application of AI models in Infection and Inflammation nuclear medicine imaging.

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来源期刊

Seminars in nuclear medicine 医学-核医学

CiteScore

9.80

自引率

6.10%

发文量

审稿时长

14 days

期刊介绍： Seminars in Nuclear Medicine is the leading review journal in nuclear medicine. Each issue brings you expert reviews and commentary on a single topic as selected by the Editors. The journal contains extensive coverage of the field of nuclear medicine, including PET, SPECT, and other molecular imaging studies, and related imaging studies. Full-color illustrations are used throughout to highlight important findings. Seminars is included in PubMed/Medline, Thomson/ISI, and other major scientific indexes.