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.

Journal: Journal of medical Internet research
PMID: 39903508

Abstract

BACKGROUND: Health care systems in low- and middle-income countries (LMICs) can greatly benefit from artificial intelligence (AI) interventions in various use cases such as diagnostics, treatment, and public health monitoring but face significant challenges in sharing data for developing and deploying AI in health care.

Authors

  • Aprajita Kaushik
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Capucine Barcellona
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Nikita Kanumoory Mandyam
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Si Ying Tan
    Alexandra Research Centre for Healthcare in a Virtual Environment, Alexandra Hospital, Singapore, Singapore.
  • Jasper Tromp
    Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.

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