临床人工智能在放射学中的应用：神经学。
Clinical Artificial Intelligence Applications in Radiology: Neuro.
机构信息
DasaInova, Diagnósticos da América SA (Dasa), São Paulo, São Paulo, Brazil; Universidade Federal de São Paulo, São Paulo, São Paulo, Brazil.
DasaInova, Diagnósticos da América SA (Dasa), São Paulo, São Paulo, Brazil; Brigham and Woman's Hospital, Boston, MA, USA.
出版信息
Radiol Clin North Am. 2021 Nov;59(6):1003-1012. doi: 10.1016/j.rcl.2021.07.002.
Radiologists have been at the forefront of the digitization process in medicine. Artificial intelligence (AI) is a promising area of innovation, particularly in medical imaging. The number of applications of AI in neuroradiology has also grown. This article illustrates some of these applications. This article reviews machine learning challenges related to neuroradiology. The first approval of reimbursement for an AI algorithm by the Centers for Medicare and Medicaid Services, covering a stroke software for early detection of large vessel occlusion, is also discussed.
放射科医生一直处于医学数字化进程的前沿。人工智能（AI）是一个有前途的创新领域，特别是在医学成像领域。人工智能在神经放射学中的应用也在增加。本文介绍了其中的一些应用。本文回顾了与神经放射学相关的机器学习挑战。同时还讨论了医疗保险和医疗补助服务中心（Centers for Medicare and Medicaid Services）首次批准对一种 AI 算法进行报销，该算法涵盖了一种用于早期检测大血管闭塞的中风软件。
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