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

Digital Health Reviews (1258) Wearable Devices and Sensors (876) Diabetes Self-Management (480) Artificial Intelligence (1329) Apps, Mobile, Wearables for Diabetes (295) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1382)

Published on in Vol 24, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36010, first published .
Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review

Authors of this article:

Arfan Ahmed1 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Alaa Abd-alrazaq1 Author Orcid Image ;   Faisal Farooq2 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (17) Tweetations (7) Metrics

Journals

  1. Ahamed B, Arya M, Sangeetha S, Auxilia Osvin N, Erdebilli (B. D. Rouyendegh) B. Diabetes Mellitus Disease Prediction and Type Classification Involving Predictive Modeling Using Machine Learning Techniques and Classifiers. Applied Computational Intelligence and Soft Computing 2022;2022:1 View
  2. Abd-alrazaq A, AlSaad R, Aziz S, Ahmed A, Denecke K, Househ M, Farooq F, Sheikh J. Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review. Journal of Medical Internet Research 2023;25:e42672 View
  3. Ahmed A, Aziz S, Qidwai U, Abd-Alrazaq A, Sheikh J. Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data. Computer Methods and Programs in Biomedicine Update 2023;3:100094 View
  4. Fácila Rubio L, Lozano-Granero C, Vidal-Pérez R, Barrios V, Freixa-Pamias R. New technologies for the diagnosis, treatment, and monitoring of cardiovascular diseases. Revista Española de Cardiología (English Edition) 2024;77(1):88 View
  5. Ferreira A, Ferreira D, Barbosa B, Aline de Oliveira U, Aparecida Padua E, Oliveira Chiarini F, Baena de Moraes Lopes M, Premaor M. Neural network-based method to stratify people at risk for developing diabetic foot: A support system for health professionals. PLOS ONE 2023;18(7):e0288466 View
  6. Kim K, Baek H. Photoplethysmography in Wearable Devices: A Comprehensive Review of Technological Advances, Current Challenges, and Future Directions. Electronics 2023;12(13):2923 View
  7. Wang R, Xiong K, Wang Z, Wu D, Hu B, Ruan J, Sun C, Ma D, Li L, Liao S. Immunodiagnosis — the promise of personalized immunotherapy. Frontiers in Immunology 2023;14 View
  8. Fácila Rubio L, Lozano-Granero C, Vidal-Pérez R, Barrios V, Freixa-Pamias R. Nuevas tecnologías para el diagnóstico, tratamiento y seguimiento de las enfermedades cardiovasculares. Revista Española de Cardiología 2024;77(1):88 View
  9. Abd-alrazaq A, Alajlani M, Ahmad R, AlSaad R, Aziz S, Ahmed A, Alsahli M, Damseh R, Sheikh J. The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e52622 View
  10. Dey A. ChatGPT in Diabetes Care: An Overview of the Evolution and Potential of Generative Artificial Intelligence Model Like ChatGPT in Augmenting Clinical and Patient Outcomes in the Management of Diabetes. International Journal of Diabetes and Technology 2023;2(2):66 View
  11. Nimri R, Phillip M, Clements M, Kovatchev B. Closed-Loop Control, Artificial Intelligence–Based Decision-Support Systems, and Data Science. Diabetes Technology & Therapeutics 2024;26(S1):S-68 View
  12. Nguyen H, Voznak M. A Bibliometric Analysis of Technology in Digital Health: Exploring Health Metaverse and Visualizing Emerging Healthcare Management Trends. IEEE Access 2024;12:23887 View
  13. Wong K, Hung L, Wong J, Park J, Alfares H, Zhao Y, Mousavinejad A, Soni A, Zhao H. Adoption of Artificial Intelligence–Enabled Robots in Long-Term Care Homes by Health Care Providers: Scoping Review. JMIR Aging 2024;7:e55257 View
  14. Zou Y, Chu Z, Yang T, Guo J, Li D. Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review. IEEE Sensors Journal 2024;24(15):23401 View

Books/Policy Documents

  1. Cisuelo O, Haleem M, Hattersley J, Pecchia L. MEDICON’23 and CMBEBIH’23. View
  2. Roosan D. Augmented and Virtual Reality in the Metaverse. View