Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit.

Journal: Critical care (London, England)
Published Date:

Abstract

BACKGROUND: Interpreting point-of-care lung ultrasound (LUS) images from intensive care unit (ICU) patients can be challenging, especially in low- and middle- income countries (LMICs) where there is limited training available. Despite recent advances in the use of Artificial Intelligence (AI) to automate many ultrasound imaging analysis tasks, no AI-enabled LUS solutions have been proven to be clinically useful in ICUs, and specifically in LMICs. Therefore, we developed an AI solution that assists LUS practitioners and assessed its usefulness in  a low resource ICU.

Authors

  • Phung Tran Huy Nhat
    Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam. nhat.phung@kcl.ac.uk.
  • Nguyen Van Hao
    Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
  • Phan Vinh Tho
    Hospital of Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Hamideh Kerdegari
    School of Biomedical Engineering Imaging Sciences, King's College London, London, UK.
  • Luigi Pisani
    Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
  • Le Ngoc Minh Thu
    Hospital of Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Le Thanh Phuong
    Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.
  • Ha Thi Hai Duong
    Hospital of Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Duong Bich Thuy
    Hospital of Tropical Diseases, Ho Chi Minh City, Vietnam.
  • Angela McBride
    Oxford University Clinical Research Unit, Ho Chi Minh City and Hanoi, Vietnam.
  • Miguel Xochicale
    School of Biomedical Engineering Imaging Sciences, King's College London, London, UK.
  • Marcus J Schultz
    Department of Intensive Care Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Reza Razavi
  • Andrew P King
    Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom. Electronic address: andrew.king@kcl.ac.uk.
  • Louise Thwaites
    Oxford University Clinical Research Unit, Ho Chi Minh City and Hanoi, Vietnam.
  • Nguyen Van Vinh Chau
    Department of Health of Ho Chi Minh City, Viet Nam.
  • Sophie Yacoub
    Oxford University Clinical Research Unit, Ho Chi Minh City and Hanoi, Vietnam.
  • Alberto Gomez
    Ultromics Ltd, Oxford, United Kingdom.