Health
Improving healthcare delivery and outcomes using AI diagnostics and data analytics.
Research Overview
Healthcare in Liberia faces challenges including limited specialist access, disease outbreaks, and resource constraints. AI diagnostics can support clinical decision-making where specialists are unavailable, predictive models can identify disease outbreaks early, and telemedicine platforms powered by AI enable remote consultations. Electronic health record systems with AI analytics help optimize resource allocation and improve population health outcomes.
Research Focus Areas
Our research in health focuses on these key areas:
Diagnostic AI Systems
Develop AI models to support clinical diagnosis, particularly for malaria, TB, COVID-19, and other prevalent diseases affecting Liberia.
Telemedicine Platforms
Create AI-enhanced telemedicine systems that connect rural patients with specialists, reducing travel burden and improving care access.
Disease Surveillance
Implement predictive analytics for early disease outbreak detection and tracking to enable rapid public health response.
Healthcare Resource Optimization
Use AI to optimize hospital operations, staff scheduling, supply chain management, and patient flow.
Key Research Areas
Diagnostic Support
Disease Prediction
Healthcare Access
Data-Driven Care
Interested in This Research?
Connect with our research team or explore partnerships to advance AI in health across Liberia.