Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40259, first published .
The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

Journals

  1. 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
  2. Huang Y, Ni Z, Lu Z, He X, Hu J, Li B, Ya H, Shi Y. Heterogeneous temporal representation for diabetic blood glucose prediction. Frontiers in Physiology 2023;14 View
  3. Gonzalez-Rodriguez R, Hathaway E, Coffer J, del Castillo R, Lin Y, Cui J. Gold Nanoparticles in Porous Silicon Nanotubes for Glucose Detection. Chemosensors 2024;12(4):63 View
  4. Hou H, Zhang R, Li J. Artificial intelligence in the clinical laboratory. Clinica Chimica Acta 2024;559:119724 View
  5. Becker M, Matt C. How individuals perceive and process diagnostic device errors. Journal of Decision Systems 2024:1 View
  6. Kaladharan S, Manayath D, Gopalakrishnan R. Regulatory Challenges in AI/ML-Enabled Medical Devices: A Scoping Review and Conceptual Framework. Journal of Medical Devices 2024;18(4) View
  7. Yammouri G, Ait Lahcen A. AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests. Journal of Personalized Medicine 2024;14(11):1088 View
  8. Morawski R. Teaching measurement science and technology in the times of pervasive AI. Measurement: Sensors 2024:101315 View
  9. Piao C, Zhu T, Baldeweg S, Taylor P, Georgiou P, Sun J, Wang J, Li K. GARNN: An interpretable graph attentive recurrent neural network for predicting blood glucose levels via multivariate time series. Neural Networks 2025;185:107229 View
  10. 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
  11. Truong Duc P, Toan V. Wearable Fall Detection Device for Stroke Warning Based on IoT Technology and Convolutional Neural Network. Measurement: Interdisciplinary Research and Perspectives 2025:1 View
  12. El-Helaly M. Artificial Intelligence and Occupational Health and Safety, Benefits and Drawbacks. La Medicina del Lavoro 2024;115(2):e2024014 View
  13. Taherdoost H. Wearable Healthcare and Continuous Vital Sign Monitoring with IoT Integration. Computers, Materials & Continua 2024;81(1):79 View
  14. Martins O, Oosthuizen C, Desai D. Exploring the import of mechatronics engineering in medicine: a review. Beni-Suef University Journal of Basic and Applied Sciences 2025;14(1) View
  15. Vargas-Santiago M, León-Velasco D, Maldonado-Sifuentes C, Chanona-Hernandez L. A State-of-the-Art Review of Artificial Intelligence (AI) Applications in Healthcare: Advances in Diabetes, Cancer, Epidemiology, and Mortality Prediction. Computers 2025;14(4):143 View
  16. 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
  17. Pillay T, Khan A, Yenice S. Artificial intelligence (AI) in point-of-care testing. Clinica Chimica Acta 2025;574:120341 View

Books/Policy Documents

  1. Longo I, D’Antoni F, Petrosino L, Piemonte V, Merone M, Pecchia L. 9th European Medical and Biological Engineering Conference. View
  2. Patel D, Dey A. Digital Health. View
  3. Jayaraman S, Anithamary M, Murugesh K, Dinesh K. Exploring the Intricacies of Digital and Analog VLSI. View
  4. Bhimavarapu U. AI-Powered Systems for Healthcare Diagnostics and Treatment. View

Conference Proceedings

  1. Glumčević S, Mašetić Z, Viteškić B. 2023 46th MIPRO ICT and Electronics Convention (MIPRO). Closed-loop Artificial Pancreas Development: A Review View
  2. Yong C, Moi J. 2024 7th International Conference on Electronics, Communications, and Control Engineering (ICECC). Health Gadget – An IoT Handheld Sugar Level Detector View