Implementing an artificial intelligence system into a diabetic eye screening programme in Tanzania.

Journal: Transactions of the Royal Society of Tropical Medicine and Hygiene
Published Date: Jun 5, 2025

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.

Authors

  • Charles R Cleland
    International Centre for Eye Health, London School of Hygiene and Tropical Medicine, University of London, London, UK.
  • William U Makupa
    Eye Department, Kilimanjaro Christian Medical Centre, Moshi, United Republic of Tanzania.
  • Bernadetha R Shilio
    Ministry of Health, Community Development, Gender, Elderly and Children, Dodoma, P. O. Box 743, Tanzania.
  • Justus Rwiza
    Eye Department, Kilimanjaro Christian Medical Centre, Moshi, P. O. Box 3010, Tanzania.
  • David Macleod
    International Centre for Eye Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
  • Covadonga Bascaran
    International Centre for Eye Health, London School of Hygiene and Tropical Medicine, University of London, London, UK.
  • Matthew J Burton
    International Centre for Eye Health, Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.

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