AI-driven Medical Report Analysis
Executive Summary
The solution is an AI-assisted medical report analysis platform that converts uploaded laboratory reports, such as blood and urine reports, into structured biomarker data and an initial clinical summary for doctors to refer. The platform combines document parsing and OCR, deterministic biomarker/range logic, configurable clinical formulas, and an agentic reasoning layer.
The goal is not to replace clinicians or provide autonomous diagnoses. Instead, the application reduces the effort required to review repetitive laboratory data and provides physicians with a structured, evidence-based starting point for clinical assessment.
Furthermore, the platform automatically organizes extracted biomarkers by body-system, such as metabolic, cardiovascular, renal, hepatic, endocrine, hematologic, and inflammatory systems. This enables clinicians to quickly and comprehensively assess organ system health and multi-system physiological interactions
About Our Client
Client Name: Confidential
Industry: Healthcare
Location: USA
Technologies
Frontend: ReactJS
API/Backend: FastAPI
PDF Processing: pypdf
OCR: PaddleOCR
LLM: Claude Sonnet
Agent Framework: LangChain
Agent Orchestration: LangGraph
Knowledge/Rules: Application Database
Cloud: AWS EC2
