放射学图像转详细报告转换器
中级
这是一个Document Extraction, Multimodal AI领域的自动化工作流，包含 12 个节点。主要使用 Code, Wait, Gmail, Webhook, HttpRequest 等节点。 使用GPT-4 Vision和PDF邮件将放射学图像转换为患者友好报告
前置要求
- •Google 账号和 Gmail API 凭证
- •HTTP Webhook 端点（n8n 会自动生成）
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "8DYI99J1q8APXjWY",
"meta": {
"instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
"templateCredsSetupCompleted": true
},
"name": "放射学图像转详细报告转换器",
"tags": [],
"nodes": [
{
"id": "89d05f4e-32c8-4ce2-aabb-26068052a70b",
"name": "上传图像触发器",
"type": "n8n-nodes-base.webhook",
"position": [
180,
-120
],
"webhookId": "radiology-upload-webhook",
"parameters": {
"path": "radiology-upload",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "395b8ea6-f7aa-4d47-a73c-22ab891674ec",
"name": "提取图像数据",
"type": "n8n-nodes-base.code",
"position": [
400,
-120
],
"parameters": {
"jsCode": "// Extract image and patient data from webhook\nconst data = $input.first().json;\n\nreturn [{\n json: {\n patient_name: data.patient_name || 'Patient',\n patient_id: data.patient_id || 'N/A',\n scan_type: data.scan_type || 'X-Ray',\n body_part: data.body_part || 'Chest',\n image_url: data.image_url,\n image_base64: data.image_base64,\n doctor_name: data.doctor_name || 'Dr. Smith',\n scan_date: data.scan_date || new Date().toISOString().split('T')[0],\n urgency: data.urgency || 'routine'\n }\n}];"
},
"typeVersion": 2
},
{
"id": "090ab8d4-4e1c-4c23-9fe8-f6c74b850a8a",
"name": "使用 AI 分析放射学图像",
"type": "n8n-nodes-base.httpRequest",
"position": [
620,
-120
],
"parameters": {
"url": "https://api.openai.com/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"gpt-4-vision-preview\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a radiology expert who explains medical scans in simple, patient-friendly language. Analyze the radiology image and provide: 1) What the scan shows in simple terms 2) Any notable findings 3) What this means for the patient 4) Next steps if any. Be reassuring and avoid medical jargon. Always recommend consulting with their doctor.\"\n },\n {\n \"role\": \"user\",\n \"content\": [\n {\n \"type\": \"text\",\n \"text\": \"Please analyze this {{ $json.scan_type }} scan of the {{ $json.body_part }} and explain the findings in patient-friendly terms.\"\n },\n {\n \"type\": \"image_url\",\n \"image_url\": {\n \"url\": \"{{ $json.image_base64 ? 'data:image/jpeg;base64,' + $json.image_base64 : $json.image_url }}\"\n }\n }\n ]\n }\n ],\n \"max_tokens\": 1000,\n \"temperature\": 0.3\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer {{ $credentials.openaiApi.apiKey }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "47095b28-484a-47ce-b450-6dd0d719d989",
"name": "处理 AI 分析",
"type": "n8n-nodes-base.code",
"position": [
840,
-120
],
"parameters": {
"jsCode": "// Process OpenAI response and structure the report data\nconst aiResponse = $input.first().json;\nconst patientData = $('Extract Image Data').first().json;\n\nconst aiAnalysis = aiResponse.choices[0].message.content;\n\n// Structure the analysis into sections\nconst sections = aiAnalysis.split('\\n\\n');\nlet findings = '';\nlet explanation = '';\nlet nextSteps = '';\n\n// Try to parse the AI response into structured sections\nsections.forEach(section => {\n if (section.toLowerCase().includes('findings') || section.toLowerCase().includes('shows')) {\n findings += section + ' ';\n } else if (section.toLowerCase().includes('means') || section.toLowerCase().includes('indicates')) {\n explanation += section + ' ';\n } else if (section.toLowerCase().includes('next') || section.toLowerCase().includes('recommend')) {\n nextSteps += section + ' ';\n }\n});\n\n// If structured parsing didn't work well, use the full response\nif (!findings && !explanation) {\n findings = aiAnalysis.substring(0, aiAnalysis.length / 2);\n explanation = aiAnalysis.substring(aiAnalysis.length / 2);\n}\n\nreturn [{\n json: {\n ...patientData,\n ai_analysis: aiAnalysis,\n findings: findings.trim() || 'Analysis completed',\n explanation: explanation.trim() || 'Please consult with your doctor for detailed explanation',\n next_steps: nextSteps.trim() || 'Follow up with your healthcare provider as recommended',\n report_generated: new Date().toISOString(),\n confidence_note: 'This AI analysis is for informational purposes only. Always consult your doctor for medical advice.'\n }\n}];"
},
"typeVersion": 2
},
{
"id": "223aebb0-5f1e-40fb-bc00-ed70a4cba515",
"name": "生成 PDF 报告",
"type": "n8n-nodes-base.code",
"position": [
1060,
-120
],
"parameters": {
"jsCode": "// Generate HTML template for PDF conversion\nconst data = $input.first().json;\n\nconst htmlReport = `\n<!DOCTYPE html>\n<html>\n<head>\n <style>\n body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 40px; }\n .header { text-align: center; border-bottom: 3px solid #4CAF50; padding-bottom: 20px; margin-bottom: 30px; }\n .logo { font-size: 24px; font-weight: bold; color: #4CAF50; }\n .patient-info { background-color: #f8f9fa; padding: 20px; border-radius: 8px; margin: 20px 0; }\n .section { margin: 25px 0; }\n .section-title { font-size: 18px; font-weight: bold; color: #2c3e50; border-left: 4px solid #4CAF50; padding-left: 15px; margin-bottom: 15px; }\n .findings { background-color: #e8f5e8; padding: 20px; border-radius: 8px; border-left: 4px solid #4CAF50; }\n .explanation { background-color: #fff3e0; padding: 20px; border-radius: 8px; border-left: 4px solid #ff9800; }\n .next-steps { background-color: #e3f2fd; padding: 20px; border-radius: 8px; border-left: 4px solid #2196f3; }\n .disclaimer { background-color: #ffebee; padding: 15px; border-radius: 8px; font-size: 14px; border: 1px solid #f44336; margin-top: 30px; }\n .footer { text-align: center; margin-top: 40px; font-size: 12px; color: #666; }\n .date { color: #666; font-size: 14px; }\n </style>\n</head>\n<body>\n <div class=\"header\">\n <div class=\"logo\">🏥 Medical Imaging Report</div>\n <h2>Patient-Friendly Radiology Report</h2>\n <div class=\"date\">Generated: ${new Date(data.report_generated).toLocaleDateString()}</div>\n </div>\n \n <div class=\"patient-info\">\n <h3>👤 Patient Information</h3>\n <p><strong>Patient Name:</strong> ${data.patient_name}</p>\n <p><strong>Patient ID:</strong> ${data.patient_id}</p>\n <p><strong>Scan Type:</strong> ${data.scan_type}</p>\n <p><strong>Body Part:</strong> ${data.body_part}</p>\n <p><strong>Scan Date:</strong> ${data.scan_date}</p>\n <p><strong>Ordering Doctor:</strong> ${data.doctor_name}</p>\n </div>\n \n <div class=\"section\">\n <div class=\"section-title\">🔍 What We Found</div>\n <div class=\"findings\">\n <p>${data.findings}</p>\n </div>\n </div>\n \n <div class=\"section\">\n <div class=\"section-title\">💡 What This Means</div>\n <div class=\"explanation\">\n <p>${data.explanation}</p>\n </div>\n </div>\n \n <div class=\"section\">\n <div class=\"section-title\">📋 Next Steps</div>\n <div class=\"next-steps\">\n <p>${data.next_steps}</p>\n </div>\n </div>\n \n <div class=\"disclaimer\">\n <h4>⚠️ Important Disclaimer</h4>\n <p>${data.confidence_note}</p>\n <p>This report is generated by AI technology to help you understand your scan results. It should not replace professional medical consultation. Please discuss these findings with your healthcare provider.</p>\n </div>\n \n <div class=\"footer\">\n <p>Report generated by AI-Powered Radiology Assistant</p>\n <p>For medical questions, contact your healthcare provider</p>\n </div>\n</body>\n</html>\n`;\n\nreturn [{\n json: {\n ...data,\n html_report: htmlReport,\n report_filename: `Radiology_Report_${data.patient_name.replace(/\\s+/g, '_')}_${data.scan_date}.pdf`\n }\n}];"
},
"typeVersion": 2
},
{
"id": "4deecdc3-3b5a-4987-a62d-43f7034431c2",
"name": "转换为 PDF",
"type": "n8n-nodes-base.httpRequest",
"position": [
1280,
-120
],
"parameters": {
"url": "https://api.html-css-to-pdf.com/v1/generate",
"method": "POST",
"options": {},
"jsonBody": "={\n \"html\": \"{{ $json.html_report }}\",\n \"options\": {\n \"format\": \"A4\",\n \"margin\": {\n \"top\": \"20mm\",\n \"right\": \"15mm\",\n \"bottom\": \"20mm\",\n \"left\": \"15mm\"\n },\n \"displayHeaderFooter\": false\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer {{ $credentials.pdfApi.apiKey }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "581fef88-4096-4193-b71e-9893fd684d1f",
"name": "保存报告到数据库",
"type": "n8n-nodes-base.googleSheets",
"position": [
1720,
-120
],
"parameters": {
"columns": {
"value": {
"pdf_url": "={{ $json.download_url }}",
"body_part": "={{ $('Generate PDF Report').first().json.body_part }}",
"scan_date": "={{ $('Generate PDF Report').first().json.scan_date }}",
"scan_type": "={{ $('Generate PDF Report').first().json.scan_type }}",
"timestamp": "={{ $now.toISO() }}",
"patient_id": "={{ $('Generate PDF Report').first().json.patient_id }}",
"patient_name": "={{ $('Generate PDF Report').first().json.patient_name }}",
"report_status": "Generated Successfully"
},
"schema": [
{
"id": "timestamp",
"type": "string",
"display": true,
"required": false,
"displayName": "Timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "patient_name",
"type": "string",
"display": true,
"required": false,
"displayName": "Patient Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "patient_id",
"type": "string",
"display": true,
"required": false,
"displayName": "Patient ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scan_type",
"type": "string",
"display": true,
"required": false,
"displayName": "Scan Type",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "body_part",
"type": "string",
"display": true,
"required": false,
"displayName": "Body Part",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scan_date",
"type": "string",
"display": true,
"required": false,
"displayName": "Scan Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "report_status",
"type": "string",
"display": true,
"required": false,
"displayName": "Report Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "pdf_url",
"type": "string",
"display": true,
"required": false,
"displayName": "PDF URL",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow"
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "Reports_Log",
"cachedResultName": "Reports Log"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "YOUR_REPORTS_SHEET_ID",
"cachedResultName": "Radiology Reports"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "ScSS2KxGQULuPtdy",
"name": "Google Sheets- test"
}
},
"typeVersion": 4.6
},
{
"id": "f2025595-5b43-48dd-a586-351054d7d6d3",
"name": "通过电子邮件发送报告给患者",
"type": "n8n-nodes-base.gmail",
"position": [
1940,
-120
],
"webhookId": "4a00c62f-eac2-46c6-9013-61a94e903084",
"parameters": {
"sendTo": "={{ $('Extract Image Data').first().json.patient_email || 'patient@example.com' }}",
"message": "=<h2>Your Radiology Report is Ready! 🏥</h2><br><br>Dear {{ $('Generate PDF Report').first().json.patient_name }},<br><br>Your {{ $('Generate PDF Report').first().json.scan_type }} scan report is now available. This patient-friendly report explains your scan results in easy-to-understand language.<br><br><strong>Scan Details:</strong><br>• Type: {{ $('Generate PDF Report').first().json.scan_type }}<br>• Body Part: {{ $('Generate PDF Report').first().json.body_part }}<br>• Date: {{ $('Generate PDF Report').first().json.scan_date }}<br><br><strong>Key Findings:</strong><br>{{ $('Process AI Analysis').first().json.findings }}<br><br>📎 <strong>Your complete report is attached as a PDF.</strong><br><br>❗ <strong>Important:</strong> This AI-generated report is for informational purposes. Please discuss these results with {{ $('Generate PDF Report').first().json.doctor_name }} or your healthcare provider.<br><br>If you have any questions, please contact your healthcare provider.<br><br>Best regards,<br>Medical Imaging Department",
"options": {},
"subject": "🏥 Your Radiology Report is Ready - {{ $('Generate PDF Report').first().json.patient_name }}"
},
"credentials": {
"gmailOAuth2": {
"id": "PcTqvGU9uCunfltE",
"name": "Gmail account - test"
}
},
"typeVersion": 2.1
},
{
"id": "badb5a4d-2b43-47a9-b1c8-12db0f4e7a5b",
"name": "返回响应",
"type": "n8n-nodes-base.code",
"position": [
2160,
-120
],
"parameters": {
"jsCode": "// Return success response with report details\nconst reportData = $('Generate PDF Report').first().json;\nconst pdfData = $('Convert to PDF').first().json;\n\nreturn [{\n json: {\n status: 'success',\n message: 'Radiology report generated successfully',\n patient_name: reportData.patient_name,\n scan_type: reportData.scan_type,\n body_part: reportData.body_part,\n report_generated: reportData.report_generated,\n pdf_url: pdfData.download_url,\n findings_summary: reportData.findings.substring(0, 200) + '...',\n next_steps: reportData.next_steps,\n disclaimer: reportData.confidence_note\n }\n}];"
},
"typeVersion": 2
},
{
"id": "7b5c9eb3-37c2-43f8-a0f1-f95554b6c9ef",
"name": "工作流概览",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-600
],
"parameters": {
"width": 400,
"height": 340,
"content": "## 🏥 放射学图像转报告转换器"
},
"typeVersion": 1
},
{
"id": "925f5199-dbac-427b-a896-228e864f524b",
"name": "必需设置",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
-540
],
"parameters": {
"color": 3,
"width": 300,
"height": 200,
"content": "## ⚙️ 需要设置"
},
"typeVersion": 1
},
{
"id": "e5159a65-1ba2-4bc0-99dc-d89cef310932",
"name": "等待 PDF",
"type": "n8n-nodes-base.wait",
"position": [
1500,
-120
],
"webhookId": "25e9fc56-abe3-4dbc-9d2d-edcf098f8ecc",
"parameters": {},
"typeVersion": 1.1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "307925d2-0fa2-459f-a60c-af7b0ae0bbb3",
"connections": {
"Wait For PDF": {
"main": [
[
{
"node": "Save Report to Database",
"type": "main",
"index": 0
}
]
]
},
"Convert to PDF": {
"main": [
[
{
"node": "Wait For PDF",
"type": "main",
"index": 0
}
]
]
},
"Extract Image Data": {
"main": [
[
{
"node": "Analyze Radiology Image with AI",
"type": "main",
"index": 0
}
]
]
},
"Generate PDF Report": {
"main": [
[
{
"node": "Convert to PDF",
"type": "main",
"index": 0
}
]
]
},
"Process AI Analysis": {
"main": [
[
{
"node": "Generate PDF Report",
"type": "main",
"index": 0
}
]
]
},
"Upload Image Trigger": {
"main": [
[
{
"node": "Extract Image Data",
"type": "main",
"index": 0
}
]
]
},
"Email Report to Patient": {
"main": [
[
{
"node": "Return Response",
"type": "main",
"index": 0
}
]
]
},
"Save Report to Database": {
"main": [
[
{
"node": "Email Report to Patient",
"type": "main",
"index": 0
}
]
]
},
"Analyze Radiology Image with AI": {
"main": [
[
{
"node": "Process AI Analysis",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
中级 - 文档提取, 多模态 AI
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量12
分类2
节点类型7
作者
Oneclick AI Squad
@oneclick-aiThe AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.
外部链接
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