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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2020-06-01
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| Series: | Globalization and Health |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12992-020-00584-1 |
| _version_ | 1818418204838461440 |
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| author | Hassane Alami Lysanne Rivard Pascale Lehoux Steven J. Hoffman Stéphanie Bernadette Mafalda Cadeddu Mathilde Savoldelli Mamane Abdoulaye Samri Mohamed Ali Ag Ahmed Richard Fleet Jean-Paul Fortin |
| author_facet | Hassane Alami Lysanne Rivard Pascale Lehoux Steven J. Hoffman Stéphanie Bernadette Mafalda Cadeddu Mathilde Savoldelli Mamane Abdoulaye Samri Mohamed Ali Ag Ahmed Richard Fleet Jean-Paul Fortin |
| author_sort | Hassane Alami |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T12:18:58Z |
| format | Article |
| id | doaj.art-c51e961d1d0547d196bb6c743c59e15c |
| institution | Directory Open Access Journal |
| issn | 1744-8603 |
| language | English |
| last_indexed | 2024-12-14T12:18:58Z |
| publishDate | 2020-06-01 |
| publisher | BMC |
| record_format | Article |
| series | Globalization and Health |
| spelling | doaj.art-c51e961d1d0547d196bb6c743c59e15c2022-12-21T23:01:34ZengBMCGlobalization and Health1744-86032020-06-011611610.1186/s12992-020-00584-1Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countriesHassane Alami0Lysanne Rivard1Pascale Lehoux2Steven J. Hoffman3Stéphanie Bernadette Mafalda Cadeddu4Mathilde Savoldelli5Mamane Abdoulaye Samri6Mohamed Ali Ag Ahmed7Richard Fleet8Jean-Paul Fortin9Center for Public Health Research, Université de MontréalCenter for Public Health Research, Université de MontréalCenter for Public Health Research, Université de MontréalGlobal Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, York UniversityResearch Centre of the University of Montreal Hospital Centre, Université de MontréalSchool for Advanced Studies in Public HealthResearch Center on Healthcare and Services in Primary Care, Université LavalResearch Chair on Chronic Diseases in Primary Care, Université de SherbrookeResearch Center on Healthcare and Services in Primary Care, Université LavalResearch Center on Healthcare and Services in Primary Care, Université LavalAbstract 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.http://link.springer.com/article/10.1186/s12992-020-00584-1Digital healthArtificial intelligenceUniversal health coverageLow- and middle-income countriesGlobal healthPublic health |
| spellingShingle | Hassane Alami Lysanne Rivard Pascale Lehoux Steven J. Hoffman Stéphanie Bernadette Mafalda Cadeddu Mathilde Savoldelli Mamane Abdoulaye Samri Mohamed Ali Ag Ahmed Richard Fleet Jean-Paul Fortin Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries Globalization and Health Digital health Artificial intelligence Universal health coverage Low- and middle-income countries Global health Public health |
| title | Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| title_full | Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| title_fullStr | Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| title_full_unstemmed | Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| title_short | Artificial intelligence in health care: laying the Foundation for Responsible, sustainable, and inclusive innovation in low- and middle-income countries |
| title_sort | artificial intelligence in health care laying the foundation for responsible sustainable and inclusive innovation in low and middle income countries |
| topic | Digital health Artificial intelligence Universal health coverage Low- and middle-income countries Global health Public health |
| url | http://link.springer.com/article/10.1186/s12992-020-00584-1 |
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