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Generative AIintermediate

Medical Diagnosis App

It is an intelligent medical research and diagnostic agent leveraging the power of LLMs to process complex medical data, research papers, and patient information. It assists clinicians by offering diagnostic suggestions, summarizing research findings, and identifying potential treatment options — all backed by verified scientific literature. Designed with precision, privacy, and reliability in mind, It acts as a trusted co-pilot in healthcare, helping doctors and researchers make faster and more informed decisions.

9 lectures

What You Will Learn

Build an AI-powered medical assistant using Large Language Models (LLMs).
Integrate OpenAI's GPT-4 for symptom analysis and medical diagnosis.
Master the Model Context Protocol (MCP) for building agentic tools.
Implement real-time web scraping with BeautifulSoup to fetch medical research from PubMed.
Develop a robust API using FastAPI to serve diagnostic predictions.
Learn prompt engineering techniques for medical summarization and diagnosis.

System Architecture

Medical Diagnosis App Architecture Diagram

High-level architecture overview of the Medical Diagnosis App .

What You'll Build

  • A sophisticated "Medical Diagnosis & Research Assistant" capable of analyzing user symptoms.
  • A Symptom Extraction engine that parses natural language to identify key medical conditions.
  • An automated PubMed Research tool that fetches and parses the latest medical studies.
  • A Diagnosis & Summarization pipeline that combines clinical insights with academic research.
  • An MCP Server implementation to expose these capabilities to AI agents.
Medical Diagnosis App
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