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• W3037647569 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." @default.
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• W3037647569 date "2020-06-24" @default.
• W3037647569 modified "2023-10-10" @default.
• W3037647569 title "Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries" @default.
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• W3037647569 doi "https://doi.org/10.1186/s12992-020-00584-1" @default.
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• W3037647569 hasPublicationYear "2020" @default.
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