Clinical Report Generation Platform
Generate structured, M11-compliant clinical reports from trial inputs with integrated research and references.
Categories
- Healthcare
- NLP
- Generative Systems
- RAG Systems
- Clinical Automation
Technologies
- LLMs
- RAG
- LangChain
- FastAPI
- OpenAI API
- FAISS
- Pydantic
- python
Project Overview
AI Medical Writer streamlines the creation of clinical documents by turning trial design inputs into structured report sections. It follows a clear pipeline: the system first plans the document structure, then gathers supporting evidence from trusted sources such as PubMed, and finally produces well-structured, reference-backed content.
The architecture ensures that every section is grounded in retrieved data rather than generic generation. Combining research retrieval with structured writing workflows, it reduces manual effort while maintaining consistency, traceability, and compliance with clinical documentation standards.
Key Capabilities
- Structured report planning from trial inputs
- Automated evidence retrieval from PubMed and web sources
- Section-wise content generation with references
- Vector-based retrieval using FAISS
- M11-compliant document structuring