Designed to assist clinicians through intelligent patient memory, medical imaging analysis, speech understanding, OCR, retrieval-augmented generation, and autonomous clinical reasoning.
Modern healthcare generates enormous amounts of fragmented information—consultation transcripts, medical images, pathology reports, appointments, medications, and longitudinal patient histories.
Synapse Clinical AI unifies these data sources into a single AI-powered clinical workspace that assists healthcare professionals throughout the entire consultation lifecycle.
Instead of relying on a single LLM, the platform orchestrates multiple specialized AI components that collaborate to:
- 🎙️ Transcribe and summarize doctor–patient conversations
- 🩻 Analyze CT scans, MRIs, X-rays, and medical images
- 📄 Extract structured data from pathology reports using multimodal OCR
- 🧠 Retrieve longitudinal patient history using Hybrid RAG
- ⚕️ Perform clinical reasoning with specialized medical models
- 💊 Detect drug-drug interactions and allergy conflicts
- 📚 Search live medical literature for evidence-backed recommendations
- 📅 Manage appointments and longitudinal patient records
| Module | Description |
|---|---|
| 🧠 Agentic Clinical Copilot | LangGraph-powered autonomous clinical assistant |
| 📄 Hybrid Medical RAG | Dense + Sparse retrieval over patient history |
| 🎙️ AI Medical Scribe | Converts consultations into structured EHR updates |
| 🩻 Medical Imaging AI | MedGemma-powered CT, MRI & X-ray interpretation |
| 📑 Lab Report OCR | Gemini Vision extracts pathology reports into structured data |
| 💊 Medication Safety | Automatic allergy & drug interaction detection |
| 🌍 Live Medical Research | Tavily-powered evidence retrieval |
| 📅 Appointment Intelligence | AI-assisted scheduling and timeline management |
| 🔐 Secure Authentication | JWT + bcrypt authentication with doctor isolation |
graph TD
A[Doctor Dashboard] --> B[FastAPI Backend]
B --> C[LangGraph Clinical Agent]
C --> D[Patient Database]
C --> E[Hybrid RAG]
C --> F[Gemini 3.5 Flash]
C --> G[MedGemma]
C --> H[Tavily Medical Search]
D --> I[(PostgreSQL)]
E --> J[(Qdrant Hybrid Vector DB)]
F --> K[Speech Transcription]
F --> L[OCR]
F --> M[Clinical Summarization]
G --> N[Medical Imaging Analysis]
C --> O[Clinical Response]
Unlike traditional healthcare chatbots, Synapse uses multiple specialized AI agents.
Coordinates the entire reasoning pipeline using LangGraph.
Retrieves:
- Previous consultations
- Medications
- Diagnoses
- Clinical summaries
- Vector memory
using Hybrid Retrieval from Qdrant.
Automatically converts consultation audio into:
- Complete transcript
- Structured diagnoses
- Medication updates
- Appointment scheduling
- Persistent clinical memory
Uses MedGemma running locally through Ollama to interpret
- X-rays
- CT scans
- MRI images
and stores imaging findings inside the patient's longitudinal record.
Gemini Vision extracts structured laboratory values directly from
- Blood reports
- Pathology reports
- Clinical PDFs
- Medical Images
and automatically populates the report analyzer.
Before updating records the system automatically checks
- Drug-drug interactions
- Allergy conflicts
- Medication safety
and injects safety alerts into the consultation transcript.
Searches trusted medical literature in real time using Tavily and integrates current evidence into clinical reasoning.
Experience the complete Synapse Clinical AI workflow—from secure authentication and patient management to AI-powered documentation and intelligent laboratory analysis.
| Step | AI Process |
|---|---|
| 1 | Doctor logs into secure portal |
| 2 | Patient selected |
| 3 | Consultation recorded or uploaded |
| 4 | Gemini transcribes conversation |
| 5 | Clinical entities extracted |
| 6 | Medication safety validation |
| 7 | Clinical summary updated |
| 8 | Consultation indexed into Hybrid RAG |
| 9 | Patient memory refreshed |
| 10 | AI Copilot answers clinician queries |
| 11 | Medical images analyzed with MedGemma |
| 12 | Lab reports processed via Gemini OCR |
| Category | Technology |
|---|---|
| LLM | Gemini 3.5 Flash |
| Clinical Vision | MedGemma (Ollama) |
| Agent Framework | LangGraph |
| LLM Framework | LangChain |
| Backend | FastAPI |
| Frontend | Streamlit |
| Database | PostgreSQL |
| Vector Database | Qdrant |
| Embeddings | FastEmbed (BGE Base) |
| Sparse Search | SPLADE |
| Authentication | JWT + bcrypt |
| ORM | SQLAlchemy |
| Search | Tavily API |
| Speech AI | Gemini Multimodal |
| OCR | Gemini Vision |
Every consultation continuously updates the patient's longitudinal record.
The platform maintains
- Clinical summaries
- Active medications
- Chronic conditions
- Imaging history
- Consultation transcripts
- Appointment timeline
allowing the AI to reason over the patient's entire medical history rather than a single conversation.
Synapse combines
- Dense semantic search (BGE)
- Sparse lexical search (SPLADE)
inside Qdrant Hybrid Retrieval to achieve accurate retrieval across long-term patient records.
This allows the AI to retrieve both:
- semantic concepts
- exact medication names
- laboratory values
- diagnoses
- clinical terminology
before generating responses.
The imaging pipeline allows clinicians to upload
- CT
- MRI
- X-ray
- Prescription images
which are analyzed locally using MedGemma.
Generated findings are automatically attached to the patient's permanent clinical record.
Gemini Vision performs multimodal OCR on pathology reports and extracts structured laboratory values.
The report analyzer then
- identifies abnormal biomarkers
- detects possible deficiencies
- recommends specialist referrals
- generates downloadable PDF and JSON summaries
- JWT Authentication
- bcrypt Password Hashing
- Doctor-specific data isolation
- Secure REST API
- Protected patient records
- Multi-hospital deployment
- FHIR / HL7 interoperability
- Native PACS integration
- ECG interpretation
- Clinical guideline engine
- Multi-agent treatment planning
- RAGAS evaluation
- Explainable AI dashboard