What MD-GPT Does
At its core, MD-GPT is a practical tool for medical professionals. It streamlines patient record management and consultation history, making it easier for doctors to keep their data organized. Its AI-powered chat interface lets doctors input symptoms and patient histories, and then suggests potential diagnoses by analyzing the conversation. Rather than replacing the human element, MD-GPT is designed to enhance the diagnostic process by highlighting important details and offering useful insights.The Tech Behind It
- Patient & Consultation Management: A straightforward system that helps doctors efficiently create, update, and organize patient records.
- AI-Powered Chat Interface: When doctors engage with the interface, the AI—trained on a rich dataset of doctor-patient interactions—provides additional insights to support the diagnostic process.
- Natural Language Processing: Using OpenAI’s Python library, MD-GPT extracts and analyzes critical information from conversations, ensuring that key details are captured.
- Secure Data Storage: Patient records, consultation histories, and chat logs are securely stored in a scalable MongoDB database.
- High-Speed API: FastAPI powers the backend, enabling real-time communication between the frontend and the AI model.
- RAG via Kernel-Memory: The latest update integrates Retrieval Augmented Generation (RAG) through Kernel-Memory, which allows the system to merge historical knowledge with real-time data, resulting in more contextually relevant insights.
Why It Matters
Working on MD-GPT has been an incredible journey into the potential of AI in healthcare. It's not about replacing doctors but about empowering them with tools that enhance their decision-making process. From our hackathon beginnings to its evolution as a project in our AI course, MD-GPT reflects a blend of rapid prototyping, academic exploration, and practical application.As I continue to work on MD-GPT, I remain excited about exploring new ways to support healthcare professionals with innovative technology. If you're interested in the crossroads of AI and healthcare, I'd love to share more about what we've learned along the way.
