The Healthcare Gap
Africa faces a severe shortage of healthcare workers. The WHO recommends 4.45 doctors per 1,000 people—most African countries have fewer than 0.5. This shortage means delayed diagnoses, preventable deaths, and overburdened healthcare systems.
AI can help bridge this gap, but only if we build it right.
Where AI Can Make the Biggest Impact
Diagnostic Support
AI can assist healthcare workers with:
Telemedicine Enablement
AI makes telemedicine more effective:
Public Health Surveillance
At the population level, AI helps:
Our Healthcare AI Projects
Chest X-Ray Analysis
We've deployed an AI system that analyzes chest X-rays for tuberculosis, pneumonia, and COVID-19. Key stats:
Skin Condition Screening
Our mobile app helps community health workers identify skin conditions:
Maternal Health Monitoring
We're piloting a system for high-risk pregnancy identification:
Challenges We're Addressing
Data Representation
Most medical AI is trained on Western populations. Conditions present differently across ethnicities and environments. We're building datasets that represent African populations.
Trust and Adoption
Healthcare workers need to trust AI recommendations. We achieve this through:
Regulatory Frameworks
Africa's regulatory landscape for medical AI is evolving. We work closely with:
The Path Forward
We believe healthcare AI in Africa will follow this trajectory:
Near-term (1-2 years)
Medium-term (3-5 years)
Long-term (5+ years)
The opportunity is immense. With the right approach, AI can help Africa leapfrog traditional healthcare delivery models and achieve health equity faster than anyone imagined.