Artificial Intelligence Applications in MR Imaging of the Hip

IF 1.5 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Magnetic Resonance Imaging Clinics of North America Pub Date : 2024-09-26 DOI:10.1016/j.mric.2024.05.003

Christine Yoon BS , Kai Jones MD , Barlas Goker MD , Jonathan Sterman MD , Edward Mardakhaev MD

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人工智能在髋关节 MR 成像中的应用。

人工智能（AI）可通过分析磁共振图像为髋关节疾病的治疗提供重要帮助。人工智能可成功实现图像自动分割。目前的模型已成功用于诊断骨关节炎、股骨髋臼撞击、唇裂、髋关节发育不良、感染、股骨头坏死和骨肿瘤。这些模型中的许多都显示出很强的性能，准确率在 76% 到 97% 之间，曲线下面积在 77% 到 98% 之间。最近的趋势表明，这些工具在髋关节疾病的核磁共振成像评估中备受关注和采用。

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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来源期刊

Magnetic Resonance Imaging Clinics of North America RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

3.10

自引率

0.00%

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审稿时长

12 months

期刊介绍： Magnetic Resonance Imaging Clinics of North America updates you on the latest trends in patient management, keeps you up to date on the newest advances, and provides a sound basis for choosing treatment options. Under the direction of an experienced editor, each issue focuses on a single topic in magnetic resonance imaging including head and neck, breast, cardiac, chest, shoulder, hip, knee, abdomen, gastrointestinal, genitourinary, and soft tissue. In addition, you can also purchase a CME subscription that offers up to 60 AMA Category 1 credits per year.

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Contents MR Imaging of the Hip Copyright Contributors Forthcoming Issues