AI vs. Doctors

The Project

This project explores the implementation of an AI-driven triage system in the emergency department to enhance the efficiency and accuracy of patient assessments. It is a Python based project that involves developing and training an AI model using historical patient data, followed by testing through simulated emergency scenarios.

View this project on YouTube

Team Comments

I chose this project because I am intrigued by artificial intelligence and want to explore its potential in the healthcare field, which is heavily reliant on human effort and facing worker shortages. My main aim is to investigate whether AI can effectively emulate human tasks in the emergency room.

The biggest challenge was acquiring and managing healthcare data due to privacy concerns and its complexity. I found relevant data on a portal called The Hugging Face and used data processing tools to ensure the AI could effectively learn from and accurately interpret the data.

With more time, I'd expand the dataset variety to boost AI accuracy and include more demographic data for enhanced reliability. I'd develop a real-time feedback mechanism for continuous AI learning from triage outcomes.