Technology Deep Dive

How Our AI Works

Sein Medical combines advanced deep learning, proprietary biomarker panels, and structured clinical reporting into a single platform that transforms mammogram screening from weeks to seconds.

AI analysis pipeline visualization

The Analysis Pipeline

Five stages from image upload to clinical insight, with biomarker integration at every step.

01

Image Acquisition & Preprocessing

  • Secure encrypted upload (TLS 1.3) of mammogram images
  • Support for CC (craniocaudal) and MLO (mediolateral oblique) views
  • Automatic image optimization: resolution normalization, contrast enhancement
  • Images over 5MB are intelligently resized while preserving diagnostic quality
  • Private object storage with access-controlled presigned URLs
02

Biomarker Integration

  • Patient biomarker panels loaded into the analysis context
  • Risk factors: personal history, family history, genetic markers (BRCA1/2)
  • Hormonal status, breast density classification, and age-adjusted factors
  • Previous screening results for longitudinal comparison
  • All biomarkers are validated against clinical reference ranges
03

AI Vision Analysis

  • State-of-the-art multimodal AI processes the mammogram images
  • Detection of masses, calcifications, architectural distortions, and asymmetries
  • Mass characterization: shape, margin, density following ACR lexicon
  • Calcification characterization: morphology and distribution patterns
  • BI-RADS 0-6 classification with sub-categories (4A, 4B, 4C)
04

Report Generation

  • Structured radiology report following ACR BI-RADS format
  • Clinical impression with recommended follow-up actions
  • Risk stratification combining imaging findings with biomarker data
  • Professional PDF export for patient records
  • Medical disclaimer automatically included on all outputs
05

Clinical Review & AI Chat

  • Physician reviews, annotates, and confirms or adjusts findings
  • Per-patient AI chat assistant with full clinical context
  • Ask follow-up questions about findings, risk factors, or comparisons
  • Side-by-side comparison with prior screenings
  • Complete audit trail of all review actions

Biomarker-Enhanced AI: Our Core Innovation

Most AI mammography tools analyze images in isolation. Sein Medical is fundamentally different. Our platform integrates proprietary biomarker panels directly into the AI analysis pipeline, providing the AI with critical patient context that pure-imaging solutions miss.

This means our AI doesn't just see the image — it understands the patient. Family history, genetic markers (BRCA1/2), hormonal status, breast density, and prior screening results all influence the analysis, reducing false positives and catching cancers that imaging alone might miss.

Proprietary biomarker panels integrated into every analysis

Patient context reduces false positive and false negative rates

Longitudinal comparison with previous screenings

Risk stratification beyond what imaging alone can provide

Biomarker-enhanced AI analysis

Traditional Screening vs. Sein Medical

See how our AI-powered platform compares to traditional mammography workflows.

CapabilityTraditional WorkflowSein Medical AI
Analysis time4-6 weeks averageUnder 60 seconds
Biomarker integrationManual correlation by physicianAutomated integration into every analysis
BI-RADS classificationManual assessment, varies by readerStructured AI classification (0-6 with sub-categories)
Dense tissue performanceUp to 30% miss rateEnhanced detection via biomarker context
Report generationManual dictation and transcriptionAutomated structured report with PDF export
Longitudinal trackingManual comparison of prior filmsAutomated side-by-side comparison with change detection
Risk assessmentSeparate clinical evaluationIntegrated into every screening result
Second opinion availabilityRequires referral, additional waitAI second opinion included with every analysis

Technical Specifications

AI Model

Claude Sonnet 4.5 (Multimodal Vision)

State-of-the-art multimodal AI with medical imaging capabilities

Classification

ACR BI-RADS 0-6 (incl. 4A/4B/4C)

Full American College of Radiology compliance

Analysis Speed

< 60 seconds end-to-end

From image upload to structured clinical report

Data Storage

AES-256 encrypted at rest

Private object storage with role-based access control

Encryption

TLS 1.3 in transit

End-to-end encryption for all data transfers

Audit Logging

Immutable audit trail

Every action logged with timestamp and user identity

Want to See It in Action?

Request early access or contact our team for a walkthrough of the platform and technology.