Research
Research at GlobalHealth AI
Advancing Global Health Equity Through AI Innovation
At GlobalHealth AI, our research lies at the intersection of artificial intelligence, public health, and equitable healthcare delivery. We work with leading academic institutions, public health organizations, and local partners to develop, test, and scale solutions that matter.
Featured Projects
TriageNet Pilot Studies
We are conducting real-world evaluations of the TriageNet platform in Sub-Saharan Africa to assess AI performance, patient outcomes, and volunteer responsiveness.
CareLink Network Utilization Study
This ongoing study explores patterns in virtual care delivery across the CareLink Network, including response times, triage escalations, and follow-up efficiency.
Bias & Explainability Frameworks
A collaborative research initiative to design explainable AI models that minimize algorithmic bias in global health diagnostics.
Our Research Priorities
AI for Early Detection
Leveraging predictive analytics and machine learning to identify health risks before they become emergencies.
Health Systems Strengthening
Using AI to optimize triage, referral, and resource allocation in underserved settings.
Ethical & Responsible AI
Studying how AI can be adapted to ensure cultural alignment, fairness, and transparency across diverse populations.
Maternal & Child Health Innovation
Developing tools to improve pregnancy monitoring, neonatal care, and community-based interventions.
Environmental & Social Determinants
Exploring the role of climate, housing, education, and income in shaping AI-informed health outcomes.
