Abstract

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Title:: Application of artificial intelligence in imaging diagnosis of central nervous system diseases: a review

Author(s):: MO Zihua1; 2; GAO Hongxia1; HUANG Biao2; 1. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510641, China 2. Department of Radiology, Guangdong Provincial Peoples Hospital, South China University of Technology, Guangzhou 510080, china

Keywords:: Keywords: artificial intelligence central nervous system disease imaging diagnosis review

Abstract:: Abstract: The application of artificial intelligence (AI) technology in the diagnosis, classification and prognosis of central nervous system diseases can significantly improve the credibility and validity of medical imaging information, greatly improve the accuracy of early diagnosis of neurological diseases and provide quantitative data for doctors to choose the optimal treatment program. Herein the widely-used learning algorithms of AI and the applications of AI in image segmentation and feature extraction during the imaging diagnosis of central nervous system diseases are introduced. Meanwhile, the applications of AI in the preoperative classification of glioma, the preoperative prediction of gene mutation, and the identification of postoperative recurrence in patients with glioma are summarized. Finally, some of the software tools that have been used in clinic are introduced briefly.