This paper is in the following e-collection/theme issue:

E-Health Policy and Health Systems Innovation (296) Clinical Informatics (1177) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (646) Clinical Informatics in Low-Resource Settings and the Developing World (115) Artificial Intelligence (1784) Digital Health Reviews (1562) Information Retrieval (325) Quality/Credibility of eHealth Information and Trust Issues (609) Health Information Exchange (125)

Published on in Vol 27 (2025)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58338, first published .
Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand

Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand

Challenges and Opportunities for Data Sharing Related to Artificial Intelligence Tools in Health Care in Low- and Middle-Income Countries: Systematic Review and Case Study From Thailand

Authors of this article:

Aprajita Kaushik1 Author Orcid Image ;   Capucine Barcellona1 Author Orcid Image ;   Nikita Kanumoory Mandyam1 Author Orcid Image ;   Si Ying Tan1 Author Orcid Image ;   Jasper Tromp1, 2 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Zhang S, Wei G, Han L, Zhong W, Lu Z, Niu Z. Global, regional and national burden of decubitus ulcers in 204 countries and territories from 1990 to 2021: a systematic analysis based on the global burden of disease study 2021. Frontiers in Public Health 2025;13 View