Zambart, in collaboration with Delft Imaging, recently introduced two trailblazing artificial intelligence (AI) technologies at the Occupational Health and Safety Institute (OSHI) in Kitwe: CAD4Silicosis and CAD Spirometry.
Silicosis, a devastating lung disease that affects workers in mining and other high-risk industries, has long been a challenge for Zambia’s occupational health system. The newly installed tools promise to transform how the disease is detected and managed.
What makes these technologies significant is their innovation on a global scale. CAD4Silicosis is one of the few AI tools for lung disease detection endorsed by the World Health Organization (WHO). Meanwhile, CAD Spirometry is the world’s first tool capable of predicting lung function volumes directly from a simple chest X-ray reducing the need for costly testing equipment.
However, the initiative goes beyond installation. Zambart and Delft Imaging will conduct a real-world validation study to generate local evidence on the tools’ accuracy, feasibility, and relevance for policy. The study’s findings will help shape strategies to protect workers’ health and strengthen Zambia’s response to occupational lung diseases.
This collaboration underscores our commitment to advancing occupational health, protecting workers, and building local capacity. The evidence generated here in Zambia will not only inform national policy but also contribute to global research on workplace health.
The Ubumi Bwandi Pantanshi (“My Health First”) project, funded by the @STOP TB Partnership, is designed to improve lung health by bringing integrated TB and lung health screening closer to the community. The initiative delivers services at both primary health care and community levels, while also offering smoking cessation support and mental health screening.
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