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

Digital Health Reviews (1724) Wearable Devices and Sensors (1133) Diabetes Self-Management (588) Artificial Intelligence (2129) Apps, Mobile, Wearables for Diabetes (364) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732)

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 (37) Tweetations (7) Metrics

Journals

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  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
  15. Jeong C, Goh Y, Kwak J. Challenges and opportunities to integrate artificial intelligence in radiation oncology: a narrative review. The Ewha Medical Journal 2024;47(4) View
  16. Brügger V, Kowatsch T, Jovanova M. Wearables and Smartphones for Tracking Modifiable Risk Factors in Metabolic Health: Protocol for a Scoping Review. JMIR Research Protocols 2024;13:e59539 View
  17. Gagnon M, Ouellet S, Attisso E, Supper W, Amil S, Rhéaume C, Paquette J, Chabot C, Laferrière M, Sasseville M. Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review. Interactive Journal of Medical Research 2024;13:e55925 View
  18. Mustafa C, Komalasari R. Integrating Machine Learning and Wearable Technology to Prevent Musculoskeletal Injuries in Military Training: A Natural Science Approach. SSRN Electronic Journal 2024 View
  19. 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
  20. Chandrasekaran R, Sadiq T M, Moustakas E. Usage Trends and Data Sharing Practices of Healthcare Wearable Devices Among US Adults: Cross-Sectional Study. Journal of Medical Internet Research 2025;27:e63879 View
  21. El-Helaly M. Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks. La Medicina del Lavoro 2024;115(2):e2024014 View
  22. Kok Wah J. Wear the Future of Healthcare: Revolutionizing Healthcare with AI-Driven Wearables for Enhanced Health and Wellness. SSRN Electronic Journal 2025 View
  23. Aziz S, A M Ali A, Aslam H, A Abd-alrazaq A, AlSaad R, Alajlani M, Ahmad R, Khalil L, Ahmed A, Sheikh J. Wearable Artificial Intelligence for Sleep Disorders: Scoping Review. Journal of Medical Internet Research 2025;27:e65272 View
  24. NG KOK WAH J. AI-Driven Wearables: Transforming Healthcare for Enhanced Health and Wellness. Global Health Synapse 2024;1(1):20 View
  25. Alzghaibi H. Nurses’ perspectives on AI-Enabled wearable health technologies: opportunities and challenges in clinical practice. BMC Nursing 2025;24(1) View
  26. Antoun I, Nizam A, Ebeid A, Rajesh M, Abdelrazik A, Eldesouky M, Thu K, Barker J, Layton G, Zakkar M, Ibrahim M, Safwan K, Dibek R, Somani R, Ng G, Bolger A. Artificial Intelligence in Adult Congenital Heart Disease: Diagnostic and Therapeutic Applications and Future Directions. Reviews in Cardiovascular Medicine 2025;26(8) View
  27. Huma Z, Sania A, Doolittle B, Sohail M. Between Trust and Tension: Psychosocial Impacts of AI Integration on Health Professionals’ Wellbeing. The International Journal of Psychiatry in Medicine 2025 View
  28. Habib M, Singh S, Jan S, Jan K, Maqsood S, Bashir K. Let the food be medicine: A paradigm shift post Covid-19. Food and Humanity 2025;5:100849 View
  29. Fraser R, Walker R, Campbell J, Ekwunife O, Egede L. Integration of artificial intelligence and wearable technology in the management of diabetes and prediabetes. npj Digital Medicine 2025;8(1) 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
  3. Patel D, Dey A. Digital Health. View
  4. Sallam M, Mijwil M, Abotaleb M, Al Sailawi A. Optimization, Machine Learning, and Fuzzy Logic. View
  5. Chaudary S, Ranade P, Verma I. Data Science and Applications. View
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Conference Proceedings

  1. Dai Y, Ling B, Deng H, Huang T. 2024 4th International Conference on Neural Networks, Information and Communication (NNICE). Non-invasive blood glucose estimation based on fractional Fourier transform View
  2. Baroud S. 2025 International Conference on Metaverse and Current Trends in Computing (ICMCTC). AI-Powered Multi-Agent System for Type 2 Diabetes Care: IoT, Federated Learning and Mobile Health Integration View