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

被引：104

作者：

Alami, Hassane ^{[1
,2
]}

Rivard, Lysanne ^{[1
,2
]}

Lehoux, Pascale ^{[1
,2
]}

Hoffman, Steven J. ^{[3
,4
,5
]}

Cadeddu, Stephanie Bernadette Mafalda ^{[6
,7
]}

Savoldelli, Mathilde ^{[8
]}

Samri, Mamane Abdoulaye ^{[9
]}

Ag Ahmed, Mohamed Ali ^{[10
]}

Fleet, Richard ^{[9
,11
,12
]}

Fortin, Jean-Paul ^{[9
,13
]}

机构：

[1] Univ Montreal, Ctr Publ Hlth Res, Montreal, PQ, Canada

[2] Univ Montreal, Dept Hlth Management Evaluat & Policy, Montreal, PQ, Canada

[3] York Univ, Dahdaleh Inst Global Hlth Res, Fac Hlth, Global Strategy Lab, Toronto, ON, Canada

[4] York Univ, Osgoode Hall Law Sch, Toronto, ON, Canada

[5] Harvard Univ, Dept Global Hlth & Populat, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA

[6] Univ Montreal, Res Ctr, Univ Montreal Hosp Ctr, Montreal, PQ, Canada

[7] Univ Montreal, Fac Law, Montreal, PQ, Canada

[8] Sch Adv Studies Publ Hlth, Rennes, France

[9] Univ Laval, Res Ctr Healthcare & Serv Primary Care, Quebec City, PQ, Canada

[10] Univ Sherbrooke, Res Chair Chron Dis Primary Care, Chicoutimi, PQ, Canada

[11] Univ Laval, Dept Family Med & Emergency Med, Fac Med, Quebec City, PQ, Canada

[12] Univ Laval, Res Chair Emergency Med, CHAU, Hotel Dieu Levis, Levis, PQ, Canada

[13] Univ Laval, Dept Social & Prevent Med, Fac Med, Quebec City, PQ, Canada

来源：

GLOBALIZATION AND HEALTH | 2020年 / 16卷 / 01期

基金：

加拿大健康研究院;

关键词：

Digital health; Artificial intelligence; Universal health coverage; Low; and middle-income countries; Global health; Public health; Human security; Innovation; TECHNOLOGY; PREDICTION; MEDICINE;

D O I：

10.1186/s12992-020-00584-1

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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.

引用

页数：6

共 53 条

[1]

Agarwal N, 2020, ROUT STUD INNOV ORG, P137

[2]

Alami H, 2020, JMIR

[3] Some Multidimensional Unintended Consequences of Telehealth Utilization: A Multi-Project Evaluation Synthesis [J].