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

Digital Health Reviews (1285) Artificial Intelligence (1369) mHealth for Screening (212) Biomedical Engineering Articles (4) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1397) Diabetes Reviews and Scoping Studies (32) Glucose Tracking and Self-Monitoring of Blood Glucose (162) Sensors for Glucose Monitoring and Diabetes Management (33) Diabetes Self-Management (484) Chronic Disease Self-Management in Childhood and Adolescence (139) Sensors at Home and Domotics (58) Wearable Devices and Sensors (26)

Published on in Vol 26 (2024)

This is a member publication of National University of Singapore

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58892, first published .
AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review

AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review

AI-Based Noninvasive Blood Glucose Monitoring: Scoping Review

Authors of this article:

Pin Zhong Chan1 Author Orcid Image ;   Eric Jin2 Author Orcid Image ;   Miia Jansson3 Author Orcid Image ;   Han Shi Jocelyn Chew4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Pin Zhong Chan   1 , BSN ;   Eric Jin   2 , MBBS ;   Miia Jansson   3 , BSN, PhD ;   Han Shi Jocelyn Chew   4 , BSN, PhD

1 Department of Nursing, Ng Teng Fong General Hospital, Singapore, Singapore

2 Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

3 Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland

4 Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

Corresponding Author:

  • Han Shi Jocelyn Chew, BSN, PhD
  • Alice Lee Centre for Nursing Studies
  • Yong Loo Lin School of Medicine
  • National University of Singapore
  • 10 Medical Drive
  • Singapore, 117597
  • Singapore
  • Phone: 65 65168687
  • Email: jocelyn.chew.hs@nus.edu.sg