| 1.
Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study
JMIR Form Res 2021;5(5):e27868
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| 25289 | 41 | 164 | |
| 2.
Artificial Intelligence–Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial
JMIR Form Res 2021;5(8):e20678
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| 11883 | 17 | 140 | |
| 3.
Recommendations for Health Equity and Virtual Care Arising From the COVID-19 Pandemic: Narrative Review
JMIR Form Res 2021;5(4):e23233
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| 5764 | 23 | 133 | |
| 4.
Self-Administered Skills-Based Virtual Reality Intervention for Chronic Pain: Randomized Controlled Pilot Study
JMIR Form Res 2020;4(7):e17293
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| 16572 | 170 | 130 | |
| 5.
Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions
JMIR Form Res 2019;3(4):e14052
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| 12847 | 55 | 110 | |
| 6.
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
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| 3471 | 11 | 92 | |
| 7.
Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding
JMIR Form Res 2022;6(1):e31623
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| 3866 | 77 | 91 | |
| 8.
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
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| 8903 | 22 | 88 | |
| 9.
Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage
JMIR Form Res 2020;4(11):e17065
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| 13745 | 6 | 88 | |
| 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
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| 3377 | 5 | 82 | |
| 11.
Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
JMIR Form Res 2022;6(5):e38340
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| 21899 | 7 | 81 | |
| 12.
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
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| 3411 | 3 | 73 | |
| 13.
Reasons People Who Use Opioids Do Not Accept or Carry No-Cost Naloxone: Qualitative Interview Study
JMIR Form Res 2020;4(12):e22411
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| 4716 | 10 | 71 | |
| 14.
Accuracy of ChatGPT on Medical Questions in the National Medical Licensing Examination in Japan: Evaluation Study
JMIR Form Res 2023;7(1):e48023
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| 820 | 13 | 66 | |
| 15.
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
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| 2849 | 20 | 65 | |
| 16.
A 3-Item Measure of Digital Health Care Literacy: Development and Validation Study
JMIR Form Res 2022;6(4):e36043
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| 7052 | 43 | 61 | |
| 17.
Acceptance of Mobile Health Apps for Disease Management Among People With Multiple Sclerosis: Web-Based Survey Study
JMIR Form Res 2018;2(2):e11977
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| 6299 | 46 | 61 | |
| 18.
Co-Designing a Mobile App to Improve Mental Health and Well-Being: Focus Group Study
JMIR Form Res 2021;5(2):e18172
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| 4343 | 5 | 60 | |
| 19.
Smartphone-Based Meditation for Myeloproliferative Neoplasm Patients: Feasibility Study to Inform Future Trials
JMIR Form Res 2019;3(2):e12662
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| 9137 | 1 | 59 | |
| 20.
Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study
JMIR Form Res 2022;6(6):e35807
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| 2826 | 4 | 55 | |
| 21.
Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation
JMIR Form Res 2021;5(4):e21678
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| 5555 | 6 | 55 | |
| 22.
Assessment and Prediction of Depression and Anxiety Risk Factors in Schoolchildren: Machine Learning Techniques Performance Analysis
JMIR Form Res 2022;6(8):e32736
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| 2212 | 5 | 54 | |
| 23.
A Stress Management App Intervention for Cancer Survivors: Design, Development, and Usability Testing
JMIR Form Res 2018;2(2):e19
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| 7254 | 27 | 53 | |
| 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
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| 2094 | 2 | 53 | |
| 25.
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
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| 3448 | 4 | 52 | |