Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries

Hassane Alami(Université de Montréal), Lysanne Rivard(Université de Montréal), Pascale Lehoux(Université de Montréal), Steven J. Hoffman(Harvard University), Stéphanie B.M. Cadeddu(Université de Montréal), Mathilde Savoldelli(École des Hautes Études en Santé Publique), M. Samri(Université Laval), Mohamed Ali Ag Ahmed(Université de Sherbrooke), Richard Fleet(Cégep de Lévis), Jean‐Paul Fortin(Université Laval)
Globalization and Health
June 24, 2020
Cited by 260Open Access
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Abstract

The World Health Organization and other institutions are considering Artificial Intelligence (AI) as a technology that can potentially address some health system gaps, especially the reduction of global health inequalities in low- and middle-income countries (LMICs). However, because most AI-based health applications are developed and implemented in high-income countries, their use in 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, we propose five building blocks to guide the development and implementation of more responsible, sustainable, and inclusive AI health care technologies in LMICs.


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