Designing AI tools to advance health equity in resource-constrained low- and middle-income countries

Digital Health 2026 Open access

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Authors: Anindya Pradipta Susanto, David Lyell, Bambang Widyantoro, Shlomo Berkovsky, Farah Magrabi
DOI: 10.1177/20552076261438662
Cited by: 1
References: 54

Abstract

In the resource-constrained settings, shortages of health workers and underdeveloped infrastructure hinder the delivery of equitable, high quality care. This perspective outlines strategic principles to support the design of AI tools that are genuinely beneficial in low-resource contexts: adopting problem-driven approaches, understanding the socio-technical context, selecting appropriate clinical tasks, and ensuring point-of-care accessibility, clinical comprehensibility, and actionable recommendations, ultimately improving clinicians' decision-making and promoting health equity in low- and middle-income countries.

Fields of Study & Subjects

Global Health and Surgery ICT in Developing Communities Mobile Health and mHealth Applications

Publication details

Journal / source
Digital Health
Publisher
SAGE Publications
Volume
12
Pages
20552076261438662–20552076261438662
Publication date
1 February 2026
Language
EN