Convertisseur d'images radiologiques en rapports détaillés

• •Compte Google et informations d'identification Gmail API
• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Informations d'identification Google Sheets API

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    "templateCredsSetupCompleted": true
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  "name": "Radiology Image to Detailed Report Converter",
  "tags": [],
  "nodes": [
    {
      "id": "89d05f4e-32c8-4ce2-aabb-26068052a70b",
      "name": "Déclencheur de Téléchargement d'Image",
      "type": "n8n-nodes-base.webhook",
      "position": [
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      "webhookId": "radiology-upload-webhook",
      "parameters": {
        "path": "radiology-upload",
        "options": {},
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      "typeVersion": 2
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    {
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      "type": "n8n-nodes-base.code",
      "position": [
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      "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": "Analyse d'Image Radiologique par IA",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        620,
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      ],
      "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"
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      "typeVersion": 4.2
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      "name": "Traitement de l'Analyse IA",
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      "position": [
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      "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": "Génération du Rapport PDF",
      "type": "n8n-nodes-base.code",
      "position": [
        1060,
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      ],
      "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}];"
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    {
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      "name": "Conversion en PDF",
      "type": "n8n-nodes-base.httpRequest",
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      ],
      "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 }}"
            },
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              "value": "application/json"
            }
          ]
        }
      },
      "typeVersion": 4.2
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      "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"
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          "schema": [
            {
              "id": "timestamp",
              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Timestamp",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
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              "type": "string",
              "display": true,
              "required": false,
              "displayName": "Patient Name",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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              "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
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              "display": true,
              "required": false,
              "displayName": "Body Part",
              "defaultMatch": false,
              "canBeUsedToMatch": true
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            {
              "id": "scan_date",
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              "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": "Envoi du Rapport par Email au Patient",
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      "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"
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    {
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      "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}];"
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    },
    {
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      "name": "Vue d'Ensemble du Workflow",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 400,
        "height": 340,
        "content": "## 🏥 Radiology Image to Report Converter\n\n### Features:\n• AI-powered image analysis\n• Patient-friendly language\n• Professional PDF reports\n• Email delivery\n• Database logging\n• Webhook triggered\n\n### How to use:\nSend POST to webhook with image data"
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      ],
      "parameters": {
        "color": 3,
        "width": 300,
        "height": 200,
        "content": "## ⚙️ Setup Required\n\n1. OpenAI API credentials (GPT-4 Vision)\n2. PDF conversion service\n3. Gmail account for sending\n4. Google Sheets for logging\n5. Update YOUR_REPORTS_SHEET_ID"
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      "typeVersion": 1
    },
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      "webhookId": "25e9fc56-abe3-4dbc-9d2d-edcf098f8ecc",
      "parameters": {},
      "typeVersion": 1.1
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  "pinData": {},
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