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人工智能在神经影像学和肌肉骨骼放射学中的应用:当前商业算法概述。

Artificial Intelligence for Neuroimaging and Musculoskeletal Radiology: Overview of Current Commercial Algorithms.

机构信息

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT.

Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT.

出版信息

Semin Roentgenol. 2023 Apr;58(2):178-183. doi: 10.1053/j.ro.2023.03.002. Epub 2023 Mar 31.

DOI:10.1053/j.ro.2023.03.002
PMID:37087138
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10122717/
Abstract

There is a rapidly increasing number of artificial intelligence (AI) products cleared by the Food and Drug Administration (FDA) for quantification, identification, and even diagnosis in clinical radiology. This review article aims to summarize the landscape of current commercial software products in neuroimaging and musculoskeletal radiology. We will discuss key applications, provide an overview of current FDA cleared products, and summarize relevant peer reviewed publications of these products when available.

摘要

越来越多的人工智能(AI)产品获得美国食品和药物管理局(FDA)批准,可用于临床放射学中的定量、识别,甚至诊断。本文旨在综述当前神经影像学和肌肉骨骼放射学领域商业化软件产品的概况。我们将讨论其主要应用,并概述当前已获得 FDA 批准的产品,同时对相关产品的同行评议文献进行总结。

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Tomography. 2022 Jun 24;8(4):1678-1689. doi: 10.3390/tomography8040140.
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Bone visualization of the cervical spine with deep learning-based synthetic CT compared to conventional CT: A single-center noninferiority study on image quality.基于深度学习的合成 CT 与常规 CT 对颈椎骨可视化的比较:一项关于图像质量的单中心非劣效性研究。
Eur J Radiol. 2022 Sep;154:110414. doi: 10.1016/j.ejrad.2022.110414. Epub 2022 Jun 17.
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Pilot Report for Intracranial Hemorrhage Detection with Deep Learning Implanted Head Computed Tomography Images at Emergency Department.
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Appl Sci (Basel). 2025 Jan;15(1). doi: 10.3390/app15010111. Epub 2024 Dec 27.
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AI applications in musculoskeletal imaging: a narrative review.人工智能在肌肉骨骼成像中的应用:一篇叙述性综述。
Eur Radiol Exp. 2024 Feb 15;8(1):22. doi: 10.1186/s41747-024-00422-8.
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