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Business · South Africa

SA Start-Up Raises R85 Million for AI TB Detection Stethoscope

By OnABudget News Team · Source: TechCentral · 2026/04/15 · Updated 2026/04/15 · 1 min read

Quick summary

Cape Town-based start-up AI Diagnostics has raised R85 million to develop an innovative digital stethoscope powered by artificial intelligence (AI). This new tool is designed to detect tuberculosis (TB) quickly and accurately right where patients receive care. The AI stethoscope aims to improve early diagnosis of TB, which is a major health issue in South Africa. By using advanced technology, the device can help health workers detect TB without needing expensive lab tests or long waiting times. This technology could make healthcare more accessible, especially in rural or under-resourced areas, by offering fast and reliable screening at clinics or community health centers. AI Diagnostics’ success shows the growing potential for AI to solve health problems in Africa, combining medical expertise with smart technology innovation.

Summary

Cape Town-based start-up AI Diagnostics has raised R85 million to develop an innovative digital stethoscope powered by artificial intelligence (AI). This new tool is designed to detect tuberculosis (TB) quickly and accurately right where patients receive care. The AI stethoscope aims to improve early diagnosis of TB, which is a major health issue in South Africa. By using advanced technology, the device can help health workers detect TB without needing expensive lab tests or long waiting times. This technology could make healthcare more accessible, especially in rural or under-resourced areas, by offering fast and reliable screening at clinics or community health centers. AI Diagnostics’ success shows the growing potential for AI to solve health problems in Africa, combining medical expertise with smart technology innovation.

OnABudget takeaway

OnABudget takeaway: This AI-powered stethoscope could lower healthcare costs and save time by detecting TB early, helping South Africans get treatment sooner. Small clinics and community centers can adopt this technology to improve patient care efficiently.

Read the original article on TechCentral

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