Today’s AI can transform health care systems and support health care workers the world over — if it is designed for the places where specialists are scarce.
Horizon1000 looks at how practical AI tools can help health workers reach more patients with better information, earlier detection, and less paperwork.
Supporting people, not replacing them
In many clinics, a nurse or community health worker is the first — and sometimes only — point of care. AI-enabled diagnostics, decision support, and local-language guidance can help those teams detect illness sooner and treat with more confidence.
What it takes to scale
Tools have to work with limited connectivity, fit into existing workflows, and earn trust from the people who use them. That means testing with governments and frontline partners, measuring what actually improves outcomes, and sharing what works so other countries can adapt it.
The foundation’s AI work in health is focused on those conditions: real-world needs, public-sector partners, and benefits that reach people too often left out.