Accessible Healthcare Through AI- Augmented Decisions (AHeAD) Center
A Proposed National Science Foundation Industry-University Cooperative Research Center
The center is a collaboration between the University of Louisiana at Lafayette, Tulane University, the University of Florida, Georgia Tech, and Tampere University.
Health organizations require research-driven, independently evaluated, and well-validated approaches to utilizing AI-augmented decision-support tools to enhance patient access to care.
AI has the potential to make healthcare more personalized, affordable, and accessible by automating routine tasks, predicting patient risks, and enabling remote care delivery. However, integrating AI into health systems presents numerous technical, ethical, and logistical challenges, including concerns over data privacy, clinical safety, algorithmic bias, and seamless integration with existing workflows.
AI Impacts Every Healthcare Domain
Clinical Applications
- Diagnostics and Imaging, Predictive Analytics and Risk Stratification, Drug Discovery and Development, Treatment Personalization
Patient-Facing Applications
- Operational and Administrative Applications, Workflow Optimization, Financial and Billing Management, Patient Management Systems, Supply Chain and Inventory Management
Early Detection and Preventive Care
- Virtual Health Assistants, Remote Monitoring and Telehealth, Mental Health and Wellness Support, Self-Diagnosis and Symptom Checking
Population Health Applications
- Epidemiology and Disease Surveillance, Health Policy Planning
Impact on Health Access
Integrating AI Will Bring Care to Underserved Areas, Resulting in Ubiquitous Access, Affordability, Continuity of Care, and Reaching Underserved Populations.
Partner with the AHeAD Center to create next-generation AI-augmented healthcare decision-support tools for your organization.
You are welcome to download and share the center overview document. (View PDF)