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

Digital Health Reviews (1761) Artificial Intelligence (2204) mHealth for Screening (299) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1767) Diabetes Reviews and Scoping Studies (39) Glucose Tracking and Self-Monitoring of Blood Glucose (206) Sensors for Glucose Monitoring and Diabetes Management (51) Diabetes Self-Management (600) Chronic Disease Self-Management in Childhood and Adolescence (191) Sensors at Home and Domotics (81)

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 (9) Tweetations (2) Metrics

Journals

  1. Gamboa D, Galicia T, Campos P. Thau Observer for Insulin Estimation Considering the Effect of Beta-Cell Dynamics for a Diabetes Mellitus Model. Mathematical and Computational Applications 2025;30(2):43 View
  2. Maheshwari S, Kalia A, Tewari J, Tewari A, Srivastava A, Dantu R, Sachan A, Verma N, Maheshwari A. Artificial intelligence for diabetes management – a review. Journal of Diabetes, Metabolic Disorders & Control 2025;12(1):24 View
  3. Kim J, Kim B, Park M, Cho H, Huh C. Noninvasive Continuous Glucose Monitoring Using Multimodal Near-Infrared, Temperature, and Pressure Signals on the Earlobe. Biosensors 2025;15(7):406 View
  4. Pershina-Miliutina A, Telegina M, Еrshova E, Komshilova K, Еrshova P. Artificial intelligence in endocrinology: Breakthrough technologies and prospects. Obesity and metabolism 2025;22(2):118 View
  5. Rajamohan R, Sun S. Nanostructured Materials in Glucose Biosensing: From Fundamentals to Smart Healthcare Applications. Biosensors 2025;15(10):658 View
  6. Lee J, Yun H, Jeon H. The Convergence of Polymer Science and Predictive Modeling for Noninvasive Glucose Monitoring. Pharmaceutics 2025;17(11):1488 View
  7. Umapathi K, Priya L, Fayek H. Smart patches for healthcare industry: a review of emerging technologies, challenges, and developmental opportunities. BioMedical Engineering OnLine 2026 View

Conference Proceedings

  1. Krishna B, Bell B. 2025 4th International Conference on Innovative Mechanisms for Industry Applications (ICIMIA). AI-based Dietary Monitoring and Biometric Health Prediction View
  2. Naranjo-Hernández D, Reina-Tosina J, Roa L, Barbarov-Rostán G, Barroso A, Moreno A, Postigo D, Fornés J. 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). From laboratory to pre-market prototyping: lessons learned from a noninvasive blood glucose level measurement device* View