How can AI help stop the next global disease outbreak before it kills millions?
Across a network of front-line healthcare facilities in Zambia, health workers used a mobile app to be guided by basic clinical prompts and entered symptoms and observations as part of routine primary care encounters.
The syndromic patterns emerging from thousands of consultations indicated a cholera outbreak was on its way, months before confirmed diagnoses appeared.
No new laboratory. No field hospital. No breakthrough treatment. Just real and ordinary information, recognized early enough to matter.
Undersecretary, Department of Health, Abu Dhabi.
We have seen the same principle at work in Abu Dhabi.
Last year, AI indicated that the influenza season was likely to arrive sooner than usual and highlighted the communities most at risk.
We acted on those insights by launching our vaccination campaign earlier, strengthening preparedness and expanding access for priority groups before cases began to rise.
A powerful reminder
It is a powerful reminder that AI's greatest value lies...
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