| 1.
Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study
JMIR AI 2025;4(1):e69132
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| 9278 | 0 | 4 | |
| 2.
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
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| 3696 | 81 | 7 | |
| 3.
How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review
JMIR AI 2024;3(1):e53207
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| 3187 | 0 | 128 | |
| 4.
Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study
JMIR AI 2023;2(1):e44358
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| 3115 | 11 | 43 | |
| 5.
Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation
JMIR AI 2023;2(1):e48340
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| 2824 | 16 | 10 | |
| 6.
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
JMIR AI 2025;4(1):e58670
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| 2660 | 13 | 42 | |
| 7.
Adolescents’ Well-being While Using a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study
JMIR AI 2022;1(1):e38171
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| 2259 | 4 | 21 | |
| 8.
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
JMIR AI 2023;2(1):e42936
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| 1986 | 4 | 49 | |
| 9.
The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review
JMIR AI 2023;2(1):e38397
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| 1701 | 1 | 30 | |
| 10.
Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses
JMIR AI 2024;3(1):e54482
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| 1681 | 0 | 55 | |
| 11.
Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study
JMIR AI 2024;3(1):e56537
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| 1508 | 8 | 36 | |
| 12.
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
JMIR AI 2023;2(1):e44432
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| 1471 | 3 | 9 | |
| 13.
Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study
JMIR AI 2025;4(1):e68960
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| 1392 | 12 | 10 | |
| 14.
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
JMIR AI 2024;3(1):e46875
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| 1392 | 6 | 9 | |
| 15.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
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| 1325 | 35 | 3 | |
| 16.
Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings
JMIR AI 2023;2(1):e40973
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| 1312 | 8 | 23 | |
| 17.
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework
JMIR AI 2023;2(1):e40755
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| 1310 | 9 | 6 | |
| 18.
Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
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| 1275 | 7 | 36 | |
| 19.
Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
JMIR AI 2024;3(1):e60020
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| 1224 | 0 | 40 | |
| 20.
Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial
JMIR AI 2023;2(1):e49023
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| 1183 | 9 | 96 | |
| 21.
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach
JMIR AI 2023;2(1):e52888
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| 1180 | 15 | 25 | |
| 22.
Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study
JMIR AI 2023;2(1):e46487
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| 1112 | 3 | 19 | |
| 23.
Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation
JMIR AI 2023;2(1):e40167
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| 1109 | 9 | 22 | |
| 24.
Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study
JMIR AI 2024;3(1):e49784
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| 1101 | 3 | 10 | |
| 25.
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
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| 1060 | 31 | 26 | |