| 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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| 26038 | 41 | 192 | |
| 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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| 13107 | 17 | 157 | |
| 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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| 6007 | 23 | 138 | |
| 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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| 16772 | 170 | 137 | |
| 5.
Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions
JMIR Form Res 2019;3(4):e14052
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| 13295 | 55 | 117 | |
| 6.
Governing Data and Artificial Intelligence for Health Care: Developing an International Understanding
JMIR Form Res 2022;6(1):e31623
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| 4270 | 77 | 116 | |
| 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
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| 3866 | 11 | 107 | |
| 8.
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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| 4252 | 5 | 105 | |
| 9.
Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage
JMIR Form Res 2020;4(11):e17065
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| 14036 | 6 | 100 | |
| 10.
Deconstructing TikTok Videos on Mental Health: Cross-sectional, Descriptive Content Analysis
JMIR Form Res 2022;6(5):e38340
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| 23174 | 7 | 97 | |
| 11.
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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| 9115 | 22 | 91 | |
| 12.
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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| 4882 | 10 | 77 | |
| 13.
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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| 3073 | 20 | 74 | |
| 14.
A 3-Item Measure of Digital Health Care Literacy: Development and Validation Study
JMIR Form Res 2022;6(4):e36043
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| 7330 | 43 | 74 | |
| 15.
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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| 3443 | 3 | 73 | |
| 16.
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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| 875 | 13 | 71 | |
| 17.
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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| 4461 | 5 | 65 | |
| 18.
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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| 3137 | 4 | 63 | |
| 19.
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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| 6317 | 46 | 62 | |
| 20.
Smartphone-Based Meditation for Myeloproliferative Neoplasm Patients: Feasibility Study to Inform Future Trials
JMIR Form Res 2019;3(2):e12662
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| 9239 | 1 | 61 | |
| 21.
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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| 2446 | 5 | 61 | |
| 22.
Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation
JMIR Form Res 2021;5(4):e21678
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| 5795 | 6 | 59 | |
| 23.
Multiple Automated Health Literacy Assessments of Written Health Information: Development of the SHeLL (Sydney Health Literacy Lab) Health Literacy Editor v1
JMIR Form Res 2023;7(1):e40645
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| 1326 | 54 | 59 | |
| 24.
Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study
JMIR Form Res 2022;6(3):e29967
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| 2057 | 2 | 58 | |
| 25.
Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
JMIR Form Res 2022;6(3):e33635
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| 3141 | 5 | 58 | |