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.

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

Traditional Screening vs. Sein Medical
See how our AI-powered platform compares to traditional mammography workflows.
| Capability | Traditional Workflow | Sein Medical AI |
|---|---|---|
| Analysis time | 4-6 weeks average | Under 60 seconds |
| Biomarker integration | Manual correlation by physician | Automated integration into every analysis |
| BI-RADS classification | Manual assessment, varies by reader | Structured AI classification (0-6 with sub-categories) |
| Dense tissue performance | Up to 30% miss rate | Enhanced detection via biomarker context |
| Report generation | Manual dictation and transcription | Automated structured report with PDF export |
| Longitudinal tracking | Manual comparison of prior films | Automated side-by-side comparison with change detection |
| Risk assessment | Separate clinical evaluation | Integrated into every screening result |
| Second opinion availability | Requires referral, additional wait | AI second opinion included with every analysis |
Technical Specifications
Claude Sonnet 4.5 (Multimodal Vision)
State-of-the-art multimodal AI with medical imaging capabilities
ACR BI-RADS 0-6 (incl. 4A/4B/4C)
Full American College of Radiology compliance
< 60 seconds end-to-end
From image upload to structured clinical report
AES-256 encrypted at rest
Private object storage with role-based access control
TLS 1.3 in transit
End-to-end encryption for all data transfers
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.