Saturday Star · IOL: "Pretoria-developed AI is helping find hidden TB cases before it's too late"
By Anita Nkonki · July 17, 2026
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The Saturday Star reports on how an AI screening tool developed in Pretoria is helping South African health workers find tuberculosis before symptoms appear. The article draws on South Africa's national TB prevalence survey, which found that 58% of people with bacteriologically confirmed TB had abnormal chest X-rays despite reporting none of the traditional symptoms.

What the article covers

  • → A result in about 45 seconds. Nexus AI indicates whether a chest X-ray appears normal, contains an abnormality needing further review, or shows findings suggestive of TB.
  • → Already in community programmes. Screening in the Northern Cape, Eastern Cape, Limpopo and Durban, including National Department of Health initiatives, the Aurum-PRO programme in the Eastern Cape, SIOC-CDT community screening in the Northern Cape and Limpopo, and homeless outreach in Durban.
  • → Screening and triage, not diagnosis. People who screen positive still go on to clinical assessment and confirmatory testing.
  • → Fewer lost patients. Same-day triage reduces repeat visits, transport costs and the weeks-long waits that cause people to drop out of care.

Why it matters

Nexus AI CXR is a CE MDR Class IIb certified decision-support tool. It supports, and does not replace, clinical interpretation and diagnosis. What it changes is ordering: abnormal studies are identified while the person is still there, and scarce specialist time goes to the films that need it.

Read: screening the underserved at scale →

About Nexus AI CXR

Nexus AI CXR is a CE MDR Class IIb certified medical AI software for chest X-ray triage, developed in collaboration with Google and independently evaluated by the Stop TB Partnership in The Lancet Digital Health. It is Global Fund quality-approved and available through PFSCM / Wambo. It supports, and does not replace, clinical interpretation and diagnosis.

This page summarises third-party coverage. Figures and statements attributed to Saturday Star · IOL are as reported in the original article. Read the full piece for its complete context.

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