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.

Details

Title
Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries
Author
Alami, Hassane  VIAFID ORCID Logo  ; Rivard, Lysanne; Lehoux, Pascale; Hoffman, Steven J; Stéphanie Bernadette Mafalda Cadeddu; Savoldelli, Mathilde; Mamane Abdoulaye Samri; Mohamed Ali Ag Ahmed; Fleet, Richard; Fortin, Jean-Paul
Pages
1-6
Section
Debate
Publication year
2020
Publication date
2020
Publisher
BioMed Central
e-ISSN
17448603
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2424770362
Copyright
© 2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.