clinical-assistant

AI-powered multi-agent medical assistant with a deterministic safety layer — crisis detection, refused-topic hard-stops, dosage grounding, and post-generation diagnosis verification running before and after every LLM call, backed by parallel RAG, Wikipedia, and Tavily retrieval with symptom and drug-question routing.

AI clinical assistant that helps primary-care clinicians with patient intake, symptom triage, and documentation. Built with Python, LLMs, and RAG.

适配心脏健康场景的 DeepSeek Harness 插件套件：在「心衰辅助诊断算法服务（heart-algo MCP）」之上， 为 DSH 会话提供一组受控的领域包装工具、驻留临床指导与原始工具隐藏策略。

Autonomous AI-powered healthcare assistant using LangGraph, Google Gemini, Streamlit, FAISS, and SQLite for intelligent reasoning, clinical tools, medical report analysis, and patient memory.

Provide answers from personal documents using RAG with FAISS, Wikipedia integration, and LLM fallback in a simple Streamlit interface.

Evidence-Based Clinical RAG Assistant for Infant and Pediatric Nutrition with Strict Medical Guardrails & Deterministic Citations.

Diagnose, repair, and manage local AI agent runtimes with automated probes, configuration fixes, and audit reports.

Build PDF Q&A with RAG, OpenAI, and ChromaDB for fast, local answers from policies, contracts, and resumes