Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries
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 A...
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BMC,
2020-06-01T00:00:00Z.
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| 001 | doaj_c51e961d1d0547d196bb6c743c59e15c | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Hassane Alami |e author |
| 700 | 1 | 0 | |a Lysanne Rivard |e author |
| 700 | 1 | 0 | |a Pascale Lehoux |e author |
| 700 | 1 | 0 | |a Steven J. Hoffman |e author |
| 700 | 1 | 0 | |a Stéphanie Bernadette Mafalda Cadeddu |e author |
| 700 | 1 | 0 | |a Mathilde Savoldelli |e author |
| 700 | 1 | 0 | |a Mamane Abdoulaye Samri |e author |
| 700 | 1 | 0 | |a Mohamed Ali Ag Ahmed |e author |
| 700 | 1 | 0 | |a Richard Fleet |e author |
| 700 | 1 | 0 | |a Jean-Paul Fortin |e author |
| 245 | 0 | 0 | |a Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| 260 | |b BMC, |c 2020-06-01T00:00:00Z. | ||
| 500 | |a 10.1186/s12992-020-00584-1 | ||
| 500 | |a 1744-8603 | ||
| 520 | |a 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. | ||
| 546 | |a EN | ||
| 690 | |a Digital health | ||
| 690 | |a Artificial intelligence | ||
| 690 | |a Universal health coverage | ||
| 690 | |a Low- and middle-income countries | ||
| 690 | |a Global health | ||
| 690 | |a Public health | ||
| 690 | |a Public aspects of medicine | ||
| 690 | |a RA1-1270 | ||
| 655 | 7 | |a article |2 local | |
| 786 | 0 | |n Globalization and Health, Vol 16, Iss 1, Pp 1-6 (2020) | |
| 787 | 0 | |n http://link.springer.com/article/10.1186/s12992-020-00584-1 | |
| 787 | 0 | |n https://doaj.org/toc/1744-8603 | |
| 856 | 4 | 1 | |u https://doaj.org/article/c51e961d1d0547d196bb6c743c59e15c |z Connect to this object online. |