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

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  • معلومة اضافية
    • Contributors:
      Université de Montréal (UdeM); École des Hautes Études en Santé Publique EHESP (EHESP)
    • بيانات النشر:
      HAL CCSD
      BioMed Central
    • الموضوع:
      2020
    • Collection:
      Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
    • نبذة مختصرة :
      International audience ; 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.
    • Relation:
      hal-03708753; https://ehesp.hal.science/hal-03708753; https://ehesp.hal.science/hal-03708753/document; https://ehesp.hal.science/hal-03708753/file/s12992-020-00584-1.pdf
    • الرقم المعرف:
      10.1186/s12992-020-00584-1
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.758F261B