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

Digital Health Reviews (858) Machine Learning (1059) Artificial Intelligence (723) Wearable Devices and Sensors (678) mHealth for Wellness, Behavior Change and Prevention (2350) Web-based and Mobile Health Interventions (2234) Mobile Health (mhealth) (2022)

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

Authors of this article:

Arfan Ahmed 1 Author Orcid Image ;   Sarah Aziz 1 Author Orcid Image ;   Alaa Abd-alrazaq 1 Author Orcid Image ;   Faisal Farooq 2 Author Orcid Image ;   Mowafa Househ 3 Author Orcid Image ;   Javaid Sheikh 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Arfan Ahmed   1 , PhD ;   Sarah Aziz   1 , MSc ;   Alaa Abd-alrazaq   1 , PhD ;   Faisal Farooq   2 , PhD ;   Mowafa Househ   3 , PhD ;   Javaid Sheikh   1 , MD

1 AI Center for Precision Health, Weill Cornell Medicine-Qatar, Doha, QA

2 Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, QA

3 College of Science and Engineering, Hamad Bin Khalifa University, Doha, QA

Corresponding Author: