The Case for Local AI Development: Lessons From Computer‑Aided Detection of Tuberculosis and Silicosis in Southern Africa’s Ex‑Miners
Authors
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg
School of Population and Public Health, University of British Columbia, Vancouver, BC
Division of Occupational Medicine, School of Public Health, University of Cape Town, Cape Town
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg
School of Population and Public Health, University of British Columbia, Vancouver, BC
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg
School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg
School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg
School of Population and Public Health, University of British Columbia, Vancouver, BC
DOI: https://doi.org/10.5334/aogh.5064 | Journal eISSN: 2214-9996
Language: English
Submitted on: Nov 7, 2025
Accepted on: Jan 20, 2026
Published on: Feb 12, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2026 Sean Terespolsky, Annalee Yassi, Rodney Ehrlich, Joshua Bruton, Karen Lockhart, Hairong Wang, Richard Klein, Warrick Sive, John Statheros, Jerry M. Spiegel, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.