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http://dx.doi.org/10.13104/imri.2022.26.1.1

Artificial Intelligence in Neuroimaging: Clinical Applications  

Choi, Kyu Sung (Department of Radiology, Seoul National University Hospital)
Sunwoo, Leonard (Department of Radiology, Seoul National University Bundang Hospital)
Publication Information
Investigative Magnetic Resonance Imaging / v.26, no.1, 2022 , pp. 1-9 More about this Journal
Abstract
Artificial intelligence (AI) powered by deep learning (DL) has shown remarkable progress in image recognition tasks. Over the past decade, AI has proven its feasibility for applications in medical imaging. Various aspects of clinical practice in neuroimaging can be improved with the help of AI. For example, AI can aid in detecting brain metastases, predicting treatment response of brain tumors, generating a parametric map of dynamic contrast-enhanced MRI, and enhancing radiomics research by extracting salient features from input images. In addition, image quality can be improved via AI-based image reconstruction or motion artifact reduction. In this review, we summarize recent clinical applications of DL in various aspects of neuroimaging.
Keywords
Artificial intelligence; Deep learning; Radiomics; Neuroimaging; Clinical application;
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