{
  "schemaVersion": 1,
  "id": "4.2.2",
  "title": "AI辅助的医疗影像诊断系统数据采集和处理指导",
  "durationMinutes": 10,
  "category": "人工智能指导方案",
  "scenario": "随着医疗科技的进步，AI在医疗影像诊断领域的应用日益广泛。AI辅助的医疗影像诊断系统能够通过深度学习技术，分析X射线、CT、MRI等医学影像，帮助医生更快速、更准确地识别病灶，评估病情，尤其在早期癌症筛查、骨伤评估、神经系统疾病诊断等方面展现出巨大潜力。这种系统不仅提高了诊断效率，降低了误诊率，还为偏远地区或医疗资源匮乏的地方提供了高水平的医疗影像分析服务。\n\nAI辅助的医疗影像诊断系统的目标包括：\n\n提高诊断准确率：利用AI技术，辅助医生识别细微的病灶特征，减少漏诊和误诊；\n\n加速诊断流程：自动化分析影像，缩短医生等待影像分析结果的时间，加快治疗进程；\n\n个性化诊疗方案：基于AI分析的结果，为患者提供更为精准的个性化治疗建议；\n\n医疗资源均衡分配：通过远程诊断，协助基层医疗机构提高诊疗水平，缩小城乡医疗差距；\n\n你作为一名人工智能训练师，根据上述的AI辅助的医疗影像诊断系统的系统目标，补全AI辅助的医疗影像诊断系统的数据采集和处理指导方案（见素材文件夹中4.2.2.docx）。",
  "skillRequirements": "（1）能指导五级/初级工、四级/中级工解决数据采集、处理问题\n\n（2）能指导五级/初级工、四级/中级工优化数据采集、处理问题",
  "qualityIndicators": "（1）数据采集和处理的指导方案内容合理可行；\n\n（2）确保医疗影像数据采集完整和准确性；\n\n（3）统一数据格式和标准化处理流程。",
  "tasks": [
    {
      "id": "4-2-response",
      "type": "rubric-response",
      "title": "指导方案设计",
      "instructions": "提交针对实际问题的指导方案。",
      "sections": [
        {
          "id": "response",
          "label": "作答内容"
        }
      ],
      "rubric": [
        {
          "id": "criterion-1",
          "label": "需求诊断与指导目标明确",
          "weight": 25
        },
        {
          "id": "criterion-2",
          "label": "步骤、方法和角色分工清晰",
          "weight": 25
        },
        {
          "id": "criterion-3",
          "label": "过程记录和效果评价完整",
          "weight": 25
        },
        {
          "id": "criterion-4",
          "label": "风险、反馈与持续改进可执行",
          "weight": 25
        }
      ]
    },
    {
      "id": "artifact-submission",
      "type": "artifact-submission",
      "title": "选择结果文件",
      "instructions": "文件仅在本机选择并校验，不上传，也不持久化文件内容。",
      "items": [
        {
          "id": "artifact-1",
          "label": "提交文件：4.2.2.docx",
          "filename": "4.2.2.docx",
          "extensions": [
            ".docx"
          ],
          "minCount": 1,
          "maxCount": 1,
          "maxSize": 104857600
        }
      ]
    }
  ],
  "attachments": [
    {
      "name": "4.2.2.docx",
      "url": "assets/4.2.2/4.2.2.docx",
      "size": 21287,
      "sha256": "6172fd21e65cd9082e0de1823e1c11c5eb5eabe6cbee66289da14040ea227b05",
      "mime": "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
    },
    {
      "name": "4.2.2.md",
      "url": "assets/4.2.2/4.2.2.md",
      "size": 2094,
      "sha256": "5453d2b31a73c10a94ccf0ff9f17ba44c3475cbfcec79a2ae643ddb4e17664ea",
      "mime": "text/markdown"
    }
  ],
  "grading": {
    "mode": "completion-and-format-only"
  },
  "review": {
    "status": "approved",
    "notice": "由公开题面通用生成，未使用答案树。",
    "conflicts": []
  },
  "contentVersion": "fae137424c56c027"
}