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

Digital Health Reviews (1458) Machine Learning (1660) Artificial Intelligence (1641) Wearable Devices and Sensors (968) mHealth for Wellness, Behavior Change and Prevention (3050) Web-based and Mobile Health Interventions (3550) Mobile Health (mhealth) (3109)

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 Ahmed1 Author Orcid Image ;   Sarah Aziz1 Author Orcid Image ;   Alaa Abd-alrazaq1 Author Orcid Image ;   Faisal Farooq2 Author Orcid Image ;   Mowafa Househ3 Author Orcid Image ;   Javaid Sheikh1 Author Orcid Image
Article Authors Cited by (18) Tweetations (3) Metrics
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Tom Bellis Tom Bellis @tommybellis

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Predicti… https://t.co/jwL5IwsKmr

3:18 PM · Mar 14, 2023

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: The Effectiveness of #Wearable Devices Using artificial intelligence (#AI) for Blood Glucose Level For… https://t.co/GXSiZDLjMH

4:31 PM · Mar 14, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: The Effectiveness of #Wearable Devices Using artificial intelligence (#AI) for Blood Glucose Level Forecasting or…

4:32 PM · Mar 14, 2023

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