Case-based learning made interactive
Practice diagnosis, treatment planning, and clinical decision-making through realistic, interactive patient simulations.
Team
Meet the Team
Overview
Background
Medical students lack tools for clinical reasoning, as most resources focus on memorization over decision-making. DiseaseQuest is an AI-powered platform with realistic patient simulations that build clinical reasoning through decision-based scenarios. It promotes active learning and problem solving, offering a revolutionary approach that replaces passive study with interactive practice.
Demo
Features
Core Features
Critical Thinking Over Memorization
Shift from rote memorization to real clinical reasoning by analyzing symptoms, making decisions, and learning through outcomes.
AI-Powered Clinical Simulations
Practice with agentic AI patient cases that respond dynamically to your decisions, mimicking real-world medical scenarios.
Gamified Learning System
Stay motivated with streaks, levels, and a leaderboard based on completed cases and performance.
Performance Analytics
Track progress with detailed insights into decision-making accuracy, improvement over time, and case mastery.
Tech stack
Built with
Frontend
Nuxt.js
Tailwind
Backend & AI
Nuxt.js
OpenAI
Supabase Edge
Database & API
Supabase
PostgreSQL
Resend
Vercel
Resources
Documentation
Acknowledgments
The team would like to thank the following individuals:
- Dr. Bingyang Wei and Dr. Swapan Nath for their feedback, guidance, and support.
- Dr. Layla Edwards and Trey Ivy for their feedback and support.
- TCU Burnett School of Medicine students for their insights.
- Mia Hernandez for creating the logo.
- Macy Bayer for the video voiceover.