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JMIR Diabetes|September 21, 2019
Digital Person-Centered Self-Management Support for People With Type 2 Diabetes: Qualitative Study Exploring Design ChallengesRobyn Schimmer, Carljohan Orre, Ulrika Öberg, et al.
JMIR Diabetes|February 22, 2019
Impact of New Technologies for Middle-Aged and Older Patients: In-Depth Interviews With Type 2 Diabetes Patients Using Continuous Glucose MonitoringChing-Ju Chiu, Yu-Hsuan Chou, Yen-Ju Chen, et al.
JMIR Diabetes|February 9, 2021
Feasibility of the Web-Based Intervention Designed to Educate and Improve Adherence Through Learning to Use Continuous Glucose Monitor (IDEAL CGM) Training and Follow-Up Support Intervention: Randomized Controlled Pilot StudyMadison B Smith, Anastasia Albanese-O'Neill, Yingwei Yao, et al.
JMIR Diabetes|April 23, 2025
mHealth Social Support Versus Standard Support for Diabetes Management in Safety-Net Emergency Department Patients: Randomized Phase-III TrialElizabeth Burner, Danielle Hazime, Michael Menchine, et al.
JMIR Diabetes|May 2, 2025
Agreement Between AI and Nephrologists in Addressing Common Patient Questions About Diabetic Nephropathy: Cross-Sectional StudyNiloufar Ebrahimi, Mehrbod Vakhshoori, Seigmund Teichman, et al.
JMIR Diabetes|June 13, 2025
The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational StudyMeshari F Alwashmi, Mustafa Alghali, AlAnoud AlMogbel, et al.
JMIR Diabetes|March 27, 2025
Applications of AI in Predicting Drug Responses for Type 2 DiabetesShilpa Garg, Robert Kitchen, Ramneek Gupta, et al.
JMIR Diabetes|December 23, 2018
Content Analysis of Metaphors About Hypertension and Diabetes on Twitter: Exploratory Mixed-Methods StudyLauren Sinnenberg, Christina Mancheno, Frances K Barg, et al.
JMIR Diabetes|December 19, 2018
A Web-Based Coping Intervention by and for Parents of Very Young Children With Type 1 Diabetes: User-Centered DesignTim Wysocki, Jessica Pierce, Cindy Caldwell, et al.
JMIR Diabetes|November 28, 2018
Prediction of Glucose Metabolism Disorder Risk Using a Machine Learning Algorithm: Pilot StudyKatsutoshi Maeta, Yu Nishiyama, Kazutoshi Fujibayashi, et al.
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