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Level 6, COCIS Block B - Makerere University +256 704 024 681 info@makerereaihealthlab.com
About the Conference

The Makerere University AI Health Lab is proud to host the 2nd AI in Health Africa Conference

Join us for the 2nd AI in Health Africa Conference, where experts, policymakers, researchers, and healthcare innovators will explore AI-driven solutions tailored to Africa’s unique healthcare landscape. Building on the success of the inaugural event, this year’s conference will highlight South-to-South collaboration, knowledge exchange, and the localization of AI in African healthcare systems.

Key discussions will focus on integrating AI with indigenous knowledge systems, addressing linguistic and cultural diversity, and ensuring AI enhances existing healthcare tools rather than creating siloed solutions. The role of Generative AI in healthcare innovation and sustainable business models will also take center stage. Don’t miss this opportunity to shape the future of AI in African healthcare sign up now!

Host: Health AI for All Network, Makerere University AI Health Lab & Infectious Disease Institute

Why Attend

Why Attend?

This conference seeks to bridge the gap between research and practical implementation by fostering collaboration, knowledge sharing, and stakeholder engagement in the following ways:

Cutting-edge AI innovations

Discover cutting-edge AI innovations in diagnostics, treatment optimization, and disease prediction.

Africa’s Diverse Healthcare Needs

Learn about AI solutions tackling Africa’s diverse healthcare needs, from maternal health to infectious diseases.

Multidisciplinary Community of Innovators

Engage with a multidisciplinary community of innovators shaping AI's future in African healthcare.

Discussions on AI policy

Participate in discussions on Artificial Intelligence policy, regulation, and ethical considerations.

Strategies to Nurture AI Talent

Develop strategies to nurture AI talent and build a sustainable AI ecosystem across the continent.

Key Themes

6 Key Themes

Social Impact


How AI can improve healthcare access and reduce disparities in underserved areas.

Collaboration and Partnerships


The role of multi-sector cooperation in driving AI innovation.

Enabling Environment for AI


Regulatory frameworks and infrastructure support for AI in healthcare.



Talent Development


Strategies to build and sustain AI expertise across Africa.

Ethical Considerations


Addressing data privacy, bias, and accountability in AI applications.

Inclusive Community Engagement


Ensuring AI technologies are accessible and beneficial to diverse populations.