Look back on the Detroit Urban Health AI Challenge

Two-day hackathon designed to foster AI innovation in addressing Detroit's urgent urban health challenges

When

October 27, 2023 6–9 PM and October 28th, 2023, 9 AM–2 PM

Where

University of Detroit Mercy, College of Health Professions Room 124
4001 West McNichols Rd., Detroit, Michigan 48221

In Detroit, a diverse cityscape marked by affluence and a profound need exists side by side. The health outcomes of our residents mirror this stark contrast. This complex urban health landscape, defined by intersecting factors such as employment status, environmental exposure, nutrition, and chronic health conditions, calls for a revolutionary solution.

Generative Artificial Intelligence (GAI) holds the power to transform urban health management. By harnessing this technology, we aim to create a more equitable health landscape in Detroit, empowering all residents to lead healthier, more fulfilling lives.

Organized by the University of Detroit Mercy and MedHealth, the Detroit Urban Health AI Challenge is a two-day hackathon designed to foster AI innovation in addressing Detroit’s urgent urban health challenges. This event offers a dynamic platform for experimentation, learning, and advancing the responsible use of AI in healthcare.

Our Focus

  • Develop Ethical AI Solutions for Urban Health Challenges
    Using AI to analyze health data, identify disparities, and suggest targeted intervention
  • Promote Multi-Disciplinary Collaboration and Research
    Generating holistic solutions through interdisciplinary research
  • Engage and Empower the Urban Community
    Equipping community organizations with the knowledge and tools to implement AI-based interventions

Sponsor

Your support can help accelerate the solutions that come out of this challenge, fund critical research, and enable us to reach more communities while also providing high visibility to your organization. Help us make a significant impact on the health outcomes of Detroiters through AI and demonstrate your commitment to supporting digital health innovation. If you are interested in sponsoring. Please review our sponsorship packages or contact ollaph@udmercy.edu.


Submit a Project

Community Organizations: We invite you to share your real-world challenges with us. This is your opportunity to present the health issues that are impacting your community, and to collaborate with innovative minds in finding sustainable, AI-driven solutions. These are some examples of the projects. 

Resource Optimization

  • Predicting service demand and optimizing healthcare resource allocation
  • Forecasting peak times for access to care or services visits to adjust staffing levels and resources accordingly.

Risk Stratification and Early Intervention

Using AI to analyze air quality data and alert individuals with respiratory conditions of high-risk periods

Treatment Personalization

  • Predicting individual responses to diabetes medications
  • Personalizing physical therapy plans for stroke recovery

Preventive Health

  • Predicting individual responses to diabetes medications
  • Personalizing physical therapy plans for stroke recovery

Training and Capacity Building

  • Developing workflows using AI tools to improve efficiency 
  • Resources for health administrators for  interpreting AI insights and making informed decisions

Challenge Prizes

First Place

  • Resources for  MVP development via TechTown MVP program
  • AI processing resources
  • 3-Month mentorship program with industry professionals
  • Opportunity to pilot the solution with a local healthcare organization
  • Students receive Amazon $500 gift cards

Second Place

  • Resources for  MVP development via TechTown MVP program
  • AI processing resources
  • 3-Month mentorship program with industry professionals
  • Opportunity to pilot the solution with a local healthcare organization
  • Students receive Amazon $250 gift cards

Third Place

  • Resources for  MVP development via TechTown MVP program
  • AI processing resources
  • 3-Month mentorship program with industry professionals
  • Opportunity to pilot the solution with a local healthcare organization
  • Students receive Amazon $100 gift cards

Additional Prizes

  • Best use of AI for social impact award
  • Most innovative solution award

All participants will receive a certificate of participation and exclusive access to future training and networking events.


Agenda

TimeActivity
Friday, October 27
5:00 - 6:00 PMOpening Ceremony
6:00 - 7:00 PMProblem Statement Pitches
7:00 - 8:00 PMNetworking Session and Project Formations
Saturday, October 28
9:00 - 10:00 AMBreakfast and Open Networking
10:00 - 11:00 AMConcurrent Sessions:- AI-Enhanced Healthcare Communication: Bridging Gaps - AI in VR Healthcare Simulations - AI for Postpartum Mental Health Equity - AI-Powered Respiratory Health Monitoring - AI-Driven Health Screening Technologies - AI Solutions for Urban Food Security - AI Addiction Resources Management - Breath Analysis for the Wellness Platform
11:00 AM - 12:30 PMAI Solution Demos/Presentations
12:30 PMLunch
1 PMAwards Ceremony

Rules and FAQ

How many people can be on one team?

Teams can have up to 5 members.

Do I have to have a team to participate?

No, individuals can register and will be assigned to a team before the event.

How do I join or create a project?

You can visit our Hackathon page at https://urban-health-ai.devpost.com/ and create a group or join an existing project.

Do I have to come in person?

The event is planned as an in-person event at the University of Detroit Mercy, but virtual participation may be an option for certain projects

Are there any fees to participate?

The event is free for participants, but registration is required.

What kind of projects are acceptable?

Projects should focus on the use of AI to address urban health challenges, as outlined in the challenge description.

When

October 27, 2023 6–9 PM and October 28th, 2023, 9 AM–2 PM

Where

University of Detroit Mercy, College of Health Professions Room 124
4001 West McNichols Rd., Detroit, Michigan 48221

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