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

Abstract : 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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https://hal.ehesp.fr/hal-03708753
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Submitted on : Wednesday, June 29, 2022 - 2:15:27 PM
Last modification on : Monday, July 4, 2022 - 2:28:12 PM

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Hassane Alami, Lysanne Rivard, Pascale Lehoux, Steven Hoffman, Stéphanie Bernadette Mafalda Cadeddu, et al.. Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries. Globalization and Health, BioMed Central, 2020, 16 (1), pp.52. ⟨10.1186/s12992-020-00584-1⟩. ⟨hal-03708753⟩

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