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

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 h...

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Bibliographic Details
Published in:Globalization and health 2020-06, Vol.16 (1), p.52-52, Article 52
Main Authors: Alami, Hassane, Rivard, Lysanne, Lehoux, Pascale, Hoffman, Steven J, Cadeddu, Stéphanie Bernadette Mafalda, Savoldelli, Mathilde, Samri, Mamane Abdoulaye, Ag Ahmed, Mohamed Ali, Fleet, Richard, Fortin, Jean-Paul
Format: Article
Language:English
Subjects:
Algorithms
Artificial Intelligence
Debate
Decision making
Developing Countries
Digital health
Ethnicity
Global Health
Health care
Health Facilities
Health Resources
Health services
High income
Humans
Income
Innovations
International organizations
Life Sciences
Low income groups
Low- and middle-income countries
Maternal & child health
National health insurance
Population
Poverty
Public health
Quality
Racial profiling
Regulatory approval
Santé publique et épidémiologie
Sustainable development
Universal health coverage
World Health Organization
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Summary: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.
ISSN:1744-8603
1744-8603
DOI:10.1186/s12992-020-00584-1