摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新研究是一篇报道的主题。据《中华人民共和国上海消息》，NewsRx记者报道，研究表明：“中风是现代社会生命和健康的主要威胁，尤其在老年人群中。中风可能导致猝死或严重后遗症性偏瘫。”这项研究的资金支持者包括中国国家自然科学基金、中华人民共和国科技部A .我们的新闻记者从上海交通大学医学院的研究中获得了一句话，“虽然计算机断层扫描(CT)和磁共振成像(MRI)是标准的诊断方法，”本文将Xception、ResNet50、VGG19、EfficientNetb1四个神经网络集成起来,建立了卷积神经网络模型,并利用这些图像建立了人工智能模型,医学资源短缺、CT/MRI成像的时间和成本阻碍了快速检测,从而增加了中风的严重程度。在185例急性缺血性卒中患者和551名年龄和性别匹配的对照组的训练集中，二维面部图像的交叉验证面积(AUC)为0.91，AUC为0.82，而不考虑年龄和性别，模型计算的中风概率与面部特征定量相关。各种临床参数的凝血指标和白细胞计数，更重要的是，卒中的发病率在不久的将来。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news originating from Shanghai, Peopl e's Republic of China, by NewsRx correspondents, research stated, "Stroke is a m ajor threat to life and health in modern society, especially in the aging popula tion. Stroke may cause sudden death or severe sequela-like hemiplegia." Financial supporters for this research include National Natural Science Foundati on of China, Ministry of Science and Technology of the People's Republic of Chin a. Our news journalists obtained a quote from the research from the Shanghai Jiao T ong University School of Medicine, "Although computed tomography (CT) and magnet ic resonance imaging (MRI) are standard diagnosis methods, and artificial intell igence models have been built based on these images, shortage in medical resourc es and the time and cost of CT/MRI imaging hamper fast detection, thus increasin g the severity of stroke. Here, we developed a convolutional neural network mode l by integrating four networks, Xception, ResNet50, VGG19, and EfficientNetb1, t o recognize stroke based on 2D facial images with a cross-validation area under curve (AUC) of 0.91 within the training set of 185 acute ischemic stroke patient s and 551 age- and sex-matched controls, and AUC of 0.82 in an independent data set regardless of age and sex. The model computed stroke probability was quantit atively associated with facial features, various clinical parameters of blood cl otting indicators and leukocyte counts, and, more importantly, stroke incidence in the near future."
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