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1. A Fully Automated Conversational Artificial Intelligence for Weight Loss: Longitudinal Observational Study Among Overweight and Obese Adults

JMIR Diabetes 2017;2(2):e28

21155 32 135
2. A Novel Intervention Including Individualized Nutritional Recommendations Reduces Hemoglobin A1c Level, Medication Use, and Weight in Type 2 Diabetes

JMIR Diabetes 2017;2(1):e5

207142 901 117
3. Effect of Diabetes Online Community Engagement on Health Indicators: Cross-Sectional Study

JMIR Diabetes 2018;3(2):e8

10301 205 71
4. Enhanced Self-Efficacy and Behavioral Changes Among Patients With Diabetes: Cloud-Based Mobile Health Platform and Mobile App Service

JMIR Diabetes 2019;4(2):e11017

10486 2 62
5. Change in Glycemic Control With Use of a Digital Therapeutic in Adults With Type 2 Diabetes: Cohort Study

JMIR Diabetes 2018;3(1):e4

321722 23 52
6. Outcomes of a Digitally Delivered Low-Carbohydrate Type 2 Diabetes Self-Management Program: 1-Year Results of a Single-Arm Longitudinal Study

JMIR Diabetes 2018;3(3):e12

79812 707 52
7. Promoting Self-Care of Diabetic Foot Ulcers Through a Mobile Phone App: User-Centered Design and Evaluation

JMIR Diabetes 2018;3(4):e10105

8190 3 51
8. Evaluating the Accuracy of Google Translate for Diabetes Education Material

JMIR Diabetes 2016;1(1):e3

9060 2 48
9. A Feasible and Efficacious Mobile-Phone Based Lifestyle Intervention for Filipino Americans with Type 2 Diabetes: Randomized Controlled Trial

JMIR Diabetes 2017;2(2):e30

7236 2 48
10. A Novel Approach to Identifying Barriers and Facilitators in Raising a Child With Type 1 Diabetes: Qualitative Analysis of Caregiver Blogs

JMIR Diabetes 2017;2(2):e27

4152 5 43
11. Diabetes Self-management Apps: Systematic Review of Adoption Determinants and Future Research Agenda

JMIR Diabetes 2022;7(3):e28153

1874 7 41
12. Experiences of Young People and Their Caregivers of Using Technology to Manage Type 1 Diabetes Mellitus: Systematic Literature Review and Narrative Synthesis

JMIR Diabetes 2021;6(1):e20973

6035 22 41
13. Ability of Current Machine Learning Algorithms to Predict and Detect Hypoglycemia in Patients With Diabetes Mellitus: Meta-analysis

JMIR Diabetes 2021;6(1):e22458

2558 6 41
14. Evaluation of a Diabetes Remote Monitoring Program Facilitated by Connected Glucose Meters for Patients With Poorly Controlled Type 2 Diabetes: Randomized Crossover Trial

JMIR Diabetes 2021;6(1):e25574

4104 29 39
15. Patient Portal Use in Diabetes Management: Literature Review

JMIR Diabetes 2018;3(4):e11199

7597 7 38
16. Evaluating the Implementation of the GREAT4Diabetes WhatsApp Chatbot to Educate People With Type 2 Diabetes During the COVID-19 Pandemic: Convergent Mixed Methods Study

JMIR Diabetes 2022;7(2):e37882

1627 4 38
17. Functionality, Implementation, Impact, and the Role of Health Literacy in Mobile Phone Apps for Gestational Diabetes: Scoping Review

JMIR Diabetes 2017;2(2):e25

6214 6 38
18. Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review

JMIR Diabetes 2022;7(3):e34699

1638 2 37
19. One Drop | Mobile: An Evaluation of Hemoglobin A1c Improvement Linked to App Engagement

JMIR Diabetes 2017;2(2):e21

8991 76 36
20. Continuous Glucose Monitoring With Low-Carbohydrate Diet Coaching in Adults With Prediabetes: Mixed Methods Pilot Study

JMIR Diabetes 2020;5(4):e21551

4425 30 32
21. Web-Based Weight Loss Intervention for Men With Type 2 Diabetes: Pilot Randomized Controlled Trial

JMIR Diabetes 2017;2(2):e14

5509 9 32
22. Improved Glycemic Control With a Digital Health Intervention in Adults With Type 2 Diabetes: Retrospective Study

JMIR Diabetes 2021;6(2):e28033

5389 6 32
23. Digital Health for Medication Adherence in Adult Diabetes or Hypertension: An Integrative Review

JMIR Diabetes 2017;2(2):e20

6836 40 32
24. Relationship Between Age and Weight Loss in Noom: Quasi-Experimental Study

JMIR Diabetes 2020;5(2):e18363

10767 3 31
25. Experiences of Patients With a Diabetes Self-Care App Developed Based on the Information-Motivation-Behavioral Skills Model: Before-and-After Study

JMIR Diabetes 2019;4(2):e11590

8143 16 31

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