Medical Imaging Fusion

Multi-modal imaging analysis powered by advanced AI algorithms

Medical Imaging Fusion Technology

Advanced Multi-Modal Imaging Analysis

SynThera's Medical Imaging Fusion platform combines AI-powered analysis across multiple imaging modalities to provide comprehensive diagnostic insights. Our advanced algorithms correlate findings from CT, MRI, X-ray, ultrasound, and PET scans to deliver precise, actionable clinical intelligence.

Supported Imaging Modalities

CT & MRI

3D reconstruction and cross-sectional analysis with automated lesion detection

X-ray & Ultrasound

Real-time analysis with pattern recognition and abnormality flagging

PET & Nuclear

Functional imaging analysis with metabolic activity quantification

Mammography

Specialized breast imaging with AI-enhanced cancer detection

Technical Specifications

Processing Speed

<30 seconds per study

Real-time for 2D images

Accuracy

97.3% lesion detection

94.8% classification accuracy

Image Formats

DICOM, NIFTI, PNG, JPEG

Up to 512x512x512 voxels

Integration

PACS compatible

HL7 FHIR compliant

AI-Powered Analysis Features

🧠

Lesion Detection

Automated identification and classification of abnormalities

📏

Quantitative Analysis

Precise measurements and volumetric calculations

🔍

Change Detection

Longitudinal comparison and progression tracking

🎯

Risk Stratification

Evidence-based risk scoring and recommendations

Integration Example

// Medical Imaging Fusion API
const imagingClient = new SynTheraImaging({
  apiKey: 'your-api-key',
  endpoint: 'https://api.synthera.health/imaging'
});

// Analyze multi-modal study
const analysis = await imagingClient.analyzeStudy({
  studyId: 'study-12345',
  modalities: ['CT', 'MRI', 'PET'],
  analysisType: 'comprehensive',
  urgency: 'routine'
});

console.log('Detected findings:', analysis.findings);
console.log('Risk score:', analysis.riskScore);
console.log('Recommendations:', analysis.recommendations);

Clinical Performance

Lesion Detection Sensitivity97.3%
Specificity94.8%
Time Reduction73%

Clinical Specialties

OncologyFDA Cleared
CardiologyCE Marked
NeurologyValidated
PulmonologyClinical Trials
EmergencyDeployed

Seamless Clinical Integration

1

Image Acquisition

2

AI Analysis

3

Clinical Report

Sample Clinical Report Output

AI-Assisted Findings Summary

  • • Pulmonary nodule detected in right upper lobe (8mm, spiculated)
  • • High suspicion for malignancy (89% confidence)
  • • Recommend PET-CT for staging
  • • Prior study comparison shows 15% growth over 6 months
  • • Automated measurements and volumetric analysis attached

Transform Your Imaging Workflow

Experience the power of AI-enhanced medical imaging analysis