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1. Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study

JMIR Form Res 2021;5(5):e27868

25666 41 178
2. Artificial Intelligence–Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial

JMIR Form Res 2021;5(8):e20678

12526 17 149
3. Recommendations for Health Equity and Virtual Care Arising From the COVID-19 Pandemic: Narrative Review

JMIR Form Res 2021;5(4):e23233

5866 23 136
4. Self-Administered Skills-Based Virtual Reality Intervention for Chronic Pain: Randomized Controlled Pilot Study

JMIR Form Res 2020;4(7):e17293

16680 170 133
5. Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions

JMIR Form Res 2019;3(4):e14052

13056 55 114
6. Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding

JMIR Form Res 2022;6(1):e31623

4062 77 105
7. Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study

JMIR Form Res 2022;6(11):e40242

3684 11 98
8. Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage

JMIR Form Res 2020;4(11):e17065

13931 6 91
9. Accuracy of a Chatbot (Ada) in the Diagnosis of Mental Disorders: Comparative Case Study With Lay and Expert Users

JMIR Form Res 2019;3(4):e13863

9005 22 90
10. Identity Threats as a Reason for Resistance to Artificial Intelligence: Survey Study With Medical Students and Professionals

JMIR Form Res 2022;6(3):e28750

3699 5 89
11. Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis

JMIR Form Res 2022;6(5):e38340

22572 7 88
12. Reasons People Who Use Opioids Do Not Accept or Carry No-Cost Naloxone: Qualitative Interview Study

JMIR Form Res 2020;4(12):e22411

4810 10 74
13. The Impact of the COVID-19 Pandemic on Physical and Mental Health in China and Spain: Cross-sectional Study

JMIR Form Res 2021;5(5):e27818

3429 3 73
14. Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

JMIR Form Res 2022;6(6):e36501

2955 20 69
15. Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study

JMIR Form Res 2023;7(1):e48023

843 13 67
16. A 3-Item Measure of Digital Health Care Literacy: Development and Validation Study

JMIR Form Res 2022;6(4):e36043

7211 43 66
17. Co-Designing a Mobile App to Improve Mental Health and Well-Being: Focus Group Study

JMIR Form Res 2021;5(2):e18172

4394 5 64
18. Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study

JMIR Form Res 2018;2(2):e11977

6311 46 61
19. Smartphone-Based Meditation for Myeloproliferative Neoplasm Patients: Feasibility Study to Inform Future Trials

JMIR Form Res 2019;3(2):e12662

9184 1 60
20. Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation

JMIR Form Res 2021;5(4):e21678

5655 6 58
21. Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis

JMIR Form Res 2022;6(8):e32736

2331 5 56
22. Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study

JMIR Form Res 2022;6(6):e35807

2964 4 56
23. Development and Usability of ADappt: Web-Based Tool to Support Clinicians, Patients, and Caregivers in the Diagnosis of Mild Cognitive Impairment and Alzheimer Disease

JMIR Form Res 2019;3(3):e13417

3459 4 54
24. A Mind-Body Physical Activity Program for Chronic Pain With or Without a Digital Monitoring Device: Proof-of-Concept Feasibility Randomized Controlled Trial

JMIR Form Res 2020;4(6):e18703

2120 2 54
25. A Stress Management App Intervention for Cancer Survivors: Design, Development, and Usability Testing

JMIR Form Res 2018;2(2):e19

7292 27 54

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