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Randomized trial · The Lancet Global Health

Your eye check result, before you leave.

If you have diabetes, a quick photo of the back of your eye can catch damage early. The hard part is often getting to the eye clinic afterward.

In a trial at 24 hospitals in Tanzania, 2,378 adults with diabetes had their eyes photographed. For half, AI read the photos on the spot, and a health worker gave them the result face to face. The other half got the usual path: photos read by a person later, with the result by phone a few weeks on.

Among people who needed a specialist, 35.9% reached the eye clinic within eight weeks, versus 18.2% with the usual path. That's almost twice as many, and they got there sooner: about 11 days on average versus 37, according to LSHTM.

  • The win came from the quick result and the conversation together. The trial can't say how much was down to the AI alone.
  • Most people who needed care still hadn't reached the clinic within eight weeks.
  • One country, two regions. It measured clinic visits, not sight saved.
  • Screening that refers people on, not a diagnosis.

Study: Cleland et al., "Artificial intelligence-supported diabetic retinopathy screening in Tanzania: a randomised controlled trial," The Lancet Global Health, Oct 12, 2026. Read the study · LSHTM summary

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The AI Rounds follows AI as it moves from demo to clinic across medicine and dentistry: imaging, ECG, documentation, decision support. Clearance is table stakes. Workflow is the story. Every story is fact-checked against its source, and we say "early" when it's early.