【摘要】 人工智能(AI)技术应用于中枢神经系统疾病的诊断、分型以及预后,可显著提高医学影像信息的可信性和有效性,大幅提高神经系统疾病早期诊断的准确率,为医生选择合理的治疗方案提供定量的依据。本研究介绍了AI在中枢神经影像诊断中常用的学习算法、AI在中枢神经疾病影像诊断中的图像分割和特征提取中的应用;综述了AI在术前胶质瘤分级、预测基因突变状况以及胶质瘤术后复发鉴别的应用;并初步介绍了已用于临床工作的一些软件工具。更多还原

【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.更多还原