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

Globalization and Health

Lysanne Rivard¹  Hassane Alami¹  Pascale Lehoux¹  Steven J. Hoffman²  Richard Fleet³  Mamane Abdoulaye Samri³  Jean-Paul Fortin³  Stéphanie Bernadette Mafalda Cadeddu⁴  Mohamed Ali Ag Ahmed⁵  Mathilde Savoldelli⁶ 

[1] Center for Public Health Research, Université de Montréal;Global Strategy Lab, Dahdaleh Institute for Global Health Research, Faculty of Health and Osgoode Hall Law School, York University;Research Center on Healthcare and Services in Primary Care, Université Laval;Research Centre of the University of Montreal Hospital Centre, Université de Montréal;Research Chair on Chronic Diseases in Primary Care, Université de Sherbrooke;School for Advanced Studies in Public Health;

关键词: Digital health;    Artificial intelligence;    Universal health coverage;    Low- and middle-income countries;    Global health;    Public health;   

DOI  :  10.1186/s12992-020-00584-1

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown