Multi-Agent-Medical-Assistant
GenAI powered multi-agentic medical diagnostics and healthcare research assistance chatbot
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
A chatbot designed to assist in medical diagnostics using generative AI technologies.
Good fit when
- When precise disease detection through genAI is needed for patient care
- For researchers requiring AI-powered insights into complex medical images
Avoid when
- If real-time interaction speed is critical due to potential latency in responses
- For tasks outside of its specialized healthcare and research focus areas
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (505d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install Multi-Agent-Medical-AssistantHow it fits your stack(6)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Integrates
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Relationship graph
Optional deeper exploration of typed edges and category neighbours.
Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A chatbot designed to assist in medical diagnostics and healthcare research for professionals, researchers, and patients using generative AI technologies.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 20, 2026)
docker exec medical-assistant-app python ingest_rag_data.py --file ./data/raw/brain_tumors_ucni.pdfSource link
Tags
README
🚀 Installation & Setup <a name="installation setup" </a 📌 Option 1: Using Docker <a name="docker setup" </a 3️⃣ Build the Docker Image 4️⃣ Run the Docker Container The application will be available at: http://localhost:8000 5️⃣ Ingest Data into Vector DB from Docker Container T...
For agents
This page has a .md twin and JSON over the API.