Charles R Cleland, William U Makupa, Bernadetha R Shilio, Justus Rwiza, David Macleod, Covadonga Bascaran, Matthew J Burton
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引用次数: 0
Abstract
Tanzania has the highest age-adjusted prevalence of diabetes in sub-Saharan Africa. Diabetic retinopathy, a common complication, is a significant cause of vision loss; but with effective screening and treatment this often can be prevented. However, with very few specialist eye care staff in Tanzania this is a major challenge. Artificial intelligence (AI) systems, which automate clinical decision making and therefore task-shift away from specialist staff, could contribute to improved diabetic retinopathy screening services in low-resource settings. This article describes our experiences of selecting, procuring and implementing an AI system into a regional diabetic eye screening programme in northern Tanzania.
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Transactions of the Royal Society of Tropical Medicine and Hygiene publishes authoritative and impactful original, peer-reviewed articles and reviews on all aspects of tropical medicine.
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