Implementation Timeline
Phase 0
MRI Preprocessing Pipeline
Months 1 – 2
Phase 1
Data Foundation & Case Database
Months 2 – 4
Phase 2
Embedding & Retrieval Pipeline
Months 4 – 7
Core Product
Phase 3
VLM Reasoning Layer
Months 7 – 10
Phase 4
Insights from Similar Cases
Months 10 – 12
Key Differentiator
Phase Demos
Phase 0
Demo Available
MRI Preprocessing Pipeline
Standardize and quality-control MRI data from multiple sources
Open demo
Phase 1
Demo Available
Data Foundation & Case Database
Build a structured, searchable database of historical cases
Open demo
Phase 2
Demo Available
Embedding & Retrieval Pipeline
Match new cases against historical database using multimodal AI
Open demo
Phase 3
Demo Available
VLM Reasoning Layer
AI-generated structured reasoning and differential diagnosis
Open demo
Phase 4
Demo Available
Insights from Similar Cases
Surface lessons from historically corrected diagnoses to enrich current assessments
Open demo
System Architecture
1
Embedding & Indexing
Institutional Memory
MedSigLIP — MRI Vision Encoder
FT-Transformer — Structured EHR Encoder
ClinicalBERT — Clinical Notes Encoder
Cross-Modal Attention Fusion (d=768)
2
Hybrid Retrieval
Case Matching
Dense Retrieval (DPR)
Sparse Retrieval (BM25)
Cross-Encoder Reranker
FAISS / Qdrant Vector Store
3
VLM Reasoning + Case Insights
Diagnosis Support
MedGemma 1.5 VLM
Structured Differential Diagnosis
Confidence & Uncertainty Estimation
Case Insight Engine
Projected System Performance
500+
Historical cases indexed
< 3 sec
End-to-end retrieval time
0.68
Top-5 precision (P@5)
3
Modalities fused (imaging, EHR, notes)
67%
Case insights rated useful by radiologists