To attain the volumetric information of the optic radiation in normal human brains, we per- formed diffusion tensor imaging examination in 13 healthy volunteers. Simultaneously, we used a brain normalization method to...To attain the volumetric information of the optic radiation in normal human brains, we per- formed diffusion tensor imaging examination in 13 healthy volunteers. Simultaneously, we used a brain normalization method to reduce individual brain variation and increase the accuracy of volumetric information analysis. In addition, tractography-based group mapping method was also used to investigate the probability and distribution of the optic radiation pathways. Our results showed that the measured optic radiation fiber tract volume was a range of about 0.16% and that the fractional anisotropy value was about 0.53. Moreover, the optic radiation probability fiber pathway that was determined with diffusion tensor tractography-based group mapping was able to detect the location relatively accurately. We believe that our methods and results are help- ful in the study of optic radiation fiber tract information.展开更多
目的对重症医学领域人工智能研究热点及趋势进行分析。方法计算机检索Web of Science数据库核心合集,检索与人工智能和重症医学相关的文献。采用CiteSpace和VOSviewer对检索到的文献进行可视化分析。结果检索到重症医学领域人工智能研...目的对重症医学领域人工智能研究热点及趋势进行分析。方法计算机检索Web of Science数据库核心合集,检索与人工智能和重症医学相关的文献。采用CiteSpace和VOSviewer对检索到的文献进行可视化分析。结果检索到重症医学领域人工智能研究的文献2593篇。重症医学领域人工智能的文献总体发文量逐年增长,2019年以后增速更快。发文量最多的国家、机构分别是美国、麻省理工学院,重症医学领域人工智能最常见的关键词包括机器学习、病死率、机械通气、脓毒血症、急性肾损伤等。结论重症医学领域中人工智能的应用进入新阶段,机器学习、临床决策、预后预测、并发症预防等是研究的热点和前沿。展开更多
文摘To attain the volumetric information of the optic radiation in normal human brains, we per- formed diffusion tensor imaging examination in 13 healthy volunteers. Simultaneously, we used a brain normalization method to reduce individual brain variation and increase the accuracy of volumetric information analysis. In addition, tractography-based group mapping method was also used to investigate the probability and distribution of the optic radiation pathways. Our results showed that the measured optic radiation fiber tract volume was a range of about 0.16% and that the fractional anisotropy value was about 0.53. Moreover, the optic radiation probability fiber pathway that was determined with diffusion tensor tractography-based group mapping was able to detect the location relatively accurately. We believe that our methods and results are help- ful in the study of optic radiation fiber tract information.
文摘目的对重症医学领域人工智能研究热点及趋势进行分析。方法计算机检索Web of Science数据库核心合集,检索与人工智能和重症医学相关的文献。采用CiteSpace和VOSviewer对检索到的文献进行可视化分析。结果检索到重症医学领域人工智能研究的文献2593篇。重症医学领域人工智能的文献总体发文量逐年增长,2019年以后增速更快。发文量最多的国家、机构分别是美国、麻省理工学院,重症医学领域人工智能最常见的关键词包括机器学习、病死率、机械通气、脓毒血症、急性肾损伤等。结论重症医学领域中人工智能的应用进入新阶段,机器学习、临床决策、预后预测、并发症预防等是研究的热点和前沿。
