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Review
. 2021 Nov;59(6):1003-1012.
doi: 10.1016/j.rcl.2021.07.002.

Clinical Artificial Intelligence Applications in Radiology: Neuro

Felipe Campos Kitamura  1 , Ian Pan  2 , Suely Fazio Ferraciolli  3 , Kristen W Yeom  4 , Nitamar Abdala  5
Affiliations
Review

Clinical Artificial Intelligence Applications in Radiology: Neuro

Felipe Campos Kitamura et al. Radiol Clin North Am. 2021 Nov.

Abstract

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.

Keywords: Artificial intelligence; Clinical applications; Deep learning; Machine learning; Neuroradiology.

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