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State of AI in Healthcare in Sub-Saharan Africa

Authors: International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA);

State of AI in Healthcare in Sub-Saharan Africa

Abstract

The rapid advancement of artificial intelligence (AI) is transforming various sectors across the globe, and its potential to revolutionize healthcare in sub-Saharan Africa is particularly significant. This report, developed under the Researcher-in-Residence Program at the International Centre of Expertise in Montreal on Artificial Intelligence (CEIMIA), with the support of the International Development Research Centre (IDRC), provides an in-depth analysis of the current state of AI in healthcare across sub-Saharan Africa. This report will enable policymakers, developers, researchers, entrepreneurs, and citizens to target priority areas based on the needs of Africa and Africans, when it comes to adopting, developing and implementing responsible AI.

Related Organizations
Keywords

Responsible AI, Healthtech, Artificial Intelligence, AI, Africa, Healthcare

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green