Most AI-based health applications are developed and implemented in high-income countries, their use in Low- and Middle-Income Countries (LMICs) contexts is recent and there is a lack of robust local evaluations to guide decision-making in low-resource settings. After discussing the potential benefits as well as the risks and challenges raised by AI-based health care, this paper proposes five building blocks to guide the development and implementation of more responsible, sustainable, and inclusive AI health care technologies in LMICs.
Alami, H., Rivard, L., Lehoux, P., Hoffman, S. J., Cadeddu, SBM., Savoldelli, M., Samri, MA., Ag Ahmed, MA., Fleet, R., Fortin, JP. (2020). Artificial intelligence in health care: Laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries. Globalization and Health. 16(1): 52.