Evidence map›Paper›PMID 32580741›Full record

ArticleGlobalization and health2020

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

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

Abstract read
In one paragraph

Article in Globalization and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 6 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Hassane AlamiCenter for Public Health Research, Université de Montréal, Montreal, Quebec, Canada. hassane.alami@umontreal.ca.ORCID 0000-0002-5461-7693
Lysanne RivardCenter for Public Health Research, Université de Montréal, Montreal, Quebec, Canada.
Pascale LehouxCenter for Public Health Research, Université de Montréal, Montreal, Quebec, Canada.
Steven J HoffmanGlobal Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, York University, Toronto, Ontario, Canada.
Stéphanie Bernadette Mafalda CadedduResearch Centre of the University of Montreal Hospital Centre, Université de Montréal, Montreal, Quebec, Canada.
Mathilde SavoldelliSchool for Advanced Studies in Public Health, Rennes, France.
Mamane Abdoulaye SamriResearch Center on Healthcare and Services in Primary Care, Université Laval, Quebec, Quebec, Canada.
Mohamed Ali Ag AhmedResearch Chair on Chronic Diseases in Primary Care, Université de Sherbrooke, Chicoutimi, Quebec, Canada.
Richard FleetResearch Center on Healthcare and Services in Primary Care, Université Laval, Quebec, Quebec, Canada.
Jean-Paul FortinResearch Center on Healthcare and Services in Primary Care, Université Laval, Quebec, Quebec, Canada.

Funding

CIHR
6 · The paper itself

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.

Indexed as

Artificial IntelligenceDeveloping CountriesGlobal HealthHealth FacilitiesHealth ResourcesHumansIncomePovertyWorld Health OrganizationArtificial intelligenceDigital healthGlobal healthHuman securityInnovationLow- and middle-income countriesPublic healthUniversal health coverage

Identifiers

PMID32580741
PMCPMC7315549

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.