AI Research & Innovation
Advance research and development of AI technologies addressing priority African health challenges.
A continental network advancing the use of Artificial Intelligence to improve health outcomes across Africa.
The AI in Health Africa Network, curated by the Makerere AI Health Lab, brings together researchers, innovators, practitioners, and policymakers across Africa and the Global South who are passionate about advancing the use of Artificial Intelligence to improve health outcomes.
Each pillar organises the network's objectives, activities and working groups.
Advance research and development of AI technologies addressing priority African health challenges.
Ensure AI in health is ethical, equitable, secure, and supported by harmonized standards.
Bridge the gap between research and real-world deployment.
Build strategic partnerships and next-generation AI leadership.
Individuals join through one of six participation categories. Organisations can also join at an institutional level.
Lecturers, scientists, and postgraduate researchers in AI, health, and biomedical research.
What participation looks like
Data scientists, health informaticians, software developers, and AI practitioners.
What participation looks like
Doctors, public health practitioners, and healthcare managers.
What participation looks like
Experts in ethics, regulation, privacy, and data governance.
What participation looks like
Startup founders and technology innovators building AI-enabled health solutions.
What participation looks like
Students and early-career professionals seeking mentorship and entry points.
What participation looks like
Host working groups, co-supervise research, contribute datasets.
Collaborate on multi-country studies, share benchmark data.
Serve as pilot and implementation sites, validate tools clinically.
Fund initiatives, support policy translation, co-convene dialogues.
Sponsor challenges, provide technical infrastructure, mentor startups.
Each Community of Practice covers a set of focus areas. Those focus areas are also the eligibility signal: if you are active in one of them, you can join the corresponding CoP.
Focus areas
Focus areas
Focus areas
Focus areas
Focus areas
Focus areas
AIHA-Net is open to researchers, clinicians, technologists, policymakers, innovators, and students working on AI and health in Africa and the Global South. There is no membership fee — members are asked only to identify their area(s) of expertise so they can be connected to the right Community of Practice.
~70
Members
Researchers, technologists, clinicians, policy specialists, innovators and students
12
Countries represented
Across Africa and the Global South
6
Member profile categories
Each mapped to a Community of Practice
Countries represented
The steering committee guides the network's direction, priorities and partnerships.
Makerere AI Health Lab
Makerere AI Health Lab
Makerere AI Health Lab
Makerere AI Health Lab
Head, Global Expansion, Mayo Clinic Platform
Postdoctoral Research Fellow, MADIVA team, Sydney Brenner Institute for Molecular Bioscience, University of the Witwatersrand
Academy for Health Innovations, Infectious Diseases Institute (IDI)
Tell us who you are and where your expertise lies, and we will connect you to the right Community of Practice. There is no membership fee.