AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review.

Journal: Journal of medical Internet research
Published Date: Nov 19, 2024

Abstract

BACKGROUND: Current blood glucose monitoring (BGM) methods are often invasive and require repetitive pricking of a finger to obtain blood samples, predisposing individuals to pain, discomfort, and infection. Noninvasive blood glucose monitoring (NIBGM) is ideal for minimizing discomfort, reducing the risk of infection, and increasing convenience.

Authors

  • Pin Zhong Chan
    Alice Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore.
  • Eric Jin
    Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Miia Jansson
    Research Group of Medical Imaging, Physics and Technology, University of Oulu, Oulu University Hospital, Oulu, Finland. Electronic address: miia.jansson@oulu.fi.
  • Han Shi Jocelyn Chew
    Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Dr, Singapore 117597, Singapore.

Keywords

External Resources

Popular Topics
Recent Journals