人工智能在医学影像测验中的应用

当您参加测验时，就会出现答案和解释。

1. 哪种类型的神经网络对于分析医学图像最为基础？
   • 卷积神经网络 (CNN)
   • 音频循环网络
   • 决策树
   • 电子表格宏
2. Viz.ai 系统有什么作用？
   • 安排医院食堂菜单
   • 分析 CT 扫描以标记可疑的大血管中风并向团队发出警报
   • 将放射学报告翻译成音乐
   • 更换 CT 扫描仪硬件
3. U-Net 架构在成像中常用的是什么？
   • 生成歌词
   • 压缩视频游戏
   • 每像素分割，例如勾勒出肿瘤或器官的轮廓
   • 加密患者密码
4. What regulatory pathway did FDA use for the named Viz.ai imaging device?
   • A blanket approval covering all imaging-AI tools
   • A drug marketing authorization
   • An exemption from all clinical evidence requirements
   • A De Novo classification decision for a specific device and intended use
5. 成像人工智能可能在新医院的数据上失败的一个关键原因是：
   • 扫描仪类型、协议或患者群体与训练数据的差异
   • 扫描件色彩太丰富
   • 模型不喜欢这座建筑
   • 图像在任何地方总是相同的
6. What do U-Net skip connections carry from the encoder to the decoder?
   • A patient’s medical record number
   • Higher-resolution feature maps that help recover spatial detail
   • A radiology report’s billing code
   • Only a global class label
7. Why should medical-imaging datasets generally be split at the patient level?
   • To make every scanner appear in only one dataset
   • To guarantee equal disease prevalence
   • To reduce leakage from multiple correlated images of the same patient across train and test sets
   • To remove the need for external validation
8. What does probability calibration assess in an imaging model?
   • Whether the scanner has been recently serviced
   • Whether every image has the same resolution
   • Whether the model segments the correct number of organs
   • Whether predictions assigned a probability match observed frequencies over evaluated cases