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

Wearables and MHealth Reviews (680) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2368) Wearable Devices and Sensors (1577) Glucose Tracking and Self-Monitoring of Blood Glucose (240) Apps, Mobile, Wearables for Diabetes (442) Reviews on Diabetes Technologies and Innovations (92)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54826, first published .
Pregnant woman checking smartwatch for fitness tracking

The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review

The Role of Smartwatch Technology in the Provision of Care for Type 1 or 2 Diabetes Mellitus or Gestational Diabetes: Systematic Review

Authors of this article:

Sergio Diez Alvarez1 Author Orcid Image ;   Antoni Fellas2, 3 Author Orcid Image ;   Katie Wynne1, 3, 4 Author Orcid Image ;   Derek Santos5, 6 Author Orcid Image ;   Dean Sculley7 Author Orcid Image ;   Shamasunder Acharya1, 4 Author Orcid Image ;   Pooshan Navathe8 Author Orcid Image ;   Xavier Gironès9 Author Orcid Image ;   Andrea Coda2, 3 Author Orcid Image
Article Authors Cited by (13) Tweetations (1) Metrics

Journals

  1. Du Z, Zhang F, Ge Y, Liu Y, Yu H, Wang Y, Dalan R, Shen X. Application of Wearable Devices in Diabetes Management. Health and Metabolism 2025:7 View
  2. Patel S, Bains A, Ali N, Chawla P. A Review on Integrating the Circular Economy in Diabetic Appliances Manufacture and Management for Sustainable Healthcare. Circular Economy and Sustainability 2025;5(5):3865 View
  3. Hauspurg A, Barry V, Hernandez N, Clapp M, Wong M, Lewkowitz A. Advancing equity with technology and innovation in obstetrics: A critical approach to obstetric TechQuity. Pregnancy 2025;1(4) View
  4. Li J, Me R, Fakhruddin N, Ahmad F, Zhu Q. Investigating the needs of older adults with type 2 diabetes and conceptualizing a healthy diet management application: a conceptual design. BMC Geriatrics 2025;25(1) View
  5. Jang M, Cho Y, Moon J, Min S, Hwang J, Jung C. Impact of smart watch mobile application on the risk treatment of type 2 diabetes mellitus (iSMART-DM). Primary Care Diabetes 2026;20(1):47 View
  6. Xie T, Wang Z, He J, Zhang J. Applications of AI in the management of elderly diabetes patients. Ageing Research Reviews 2026;114:102960 View
  7. Baykoca J, Hurtado Barbeito G, Pearce C, Milne-Ives M, Hudson J, Norton S, Moss-Morris R. Mechanisms of Engagement With Mobile Health Apps for Adults With Long-Term Conditions: Overview of Systematic Reviews. JMIR mHealth and uHealth 2026;14:e88382 View
  8. Мизева И, Кулеш А. Smart-часы для медицины. Обзор. Perm Scientific Center Journal 2026;(1):5 View
  9. Sun W, Xie D, Hou W, Zhang M, Wang C, Wang Z, Yang H, Xu G, Dai H. Behavior change pathways by which digital wearable devices support exercise self-management in type 2 diabetes: a scoping review with machine learning–assisted text mining. Frontiers in Public Health 2026;14 View
  10. Wang Y, Liu C. Artificial Intelligence-Based Exercise Prescription for Chronic Disease Management: An Umbrella Review of Systematic Reviews and Meta-Analyses (Preprint). Journal of Medical Internet Research 2026 View
  11. Zembrzuska S, Kowalska A, Kuls A, Sobol A, Pabis B, Wiktorowicz J, Kadłubańska M, Bulińska N, Sinczak Z, Bajerski S. DIGITAL TECHNOLOGIES, STRESS AND MENTAL HEALTH: THE ROLE OF ARTIFICIAL INTELLIGENCE AND SOCIAL MEDIA IN MODERN SOCIETY. International Journal of Innovative Technologies in Social Science 2026;5(2(50)) View

Books/Policy Documents

  1. Majeed H, Iftikhar T. Intelligent Manufacturing in Industry 6.0. View

Conference Proceedings

  1. Saravanan K, Shanmugam V, Kalithasan A. 2025 4th International Conference on Automation, Computing and Renewable Systems (ICACRS). Deep Learning-based Dietary Recommendation System for Diabetic Patients using Smartwatch and Barcode Data View