| 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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| 9295 | 0 | 4 | |
| 2.
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
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| 3708 | 81 | 8 | |
| 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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| 3615 | 0 | 149 | |
| 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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| 3225 | 11 | 46 | |
| 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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| 2895 | 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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| 2804 | 13 | 55 | |
| 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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| 2318 | 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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| 2018 | 4 | 50 | |
| 9.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
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| 1823 | 51 | 7 | |
| 10.
Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses
JMIR AI 2024;3(1):e54482
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| 1809 | 0 | 60 | |
| 11.
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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| 1735 | 1 | 33 | |
| 12.
Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study
JMIR AI 2024;3(1):e56537
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| 1581 | 8 | 37 | |
| 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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| 1538 | 12 | 12 | |
| 14.
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
JMIR AI 2023;2(1):e44432
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| 1490 | 3 | 10 | |
| 15.
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
JMIR AI 2024;3(1):e46875
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| 1444 | 6 | 10 | |
| 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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| 1333 | 8 | 25 | |
| 17.
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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| 1327 | 9 | 115 | |
| 18.
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework
JMIR AI 2023;2(1):e40755
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| 1321 | 9 | 6 | |
| 19.
Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
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| 1315 | 7 | 38 | |
| 20.
Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
JMIR AI 2024;3(1):e60020
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| 1278 | 0 | 45 | |
| 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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| 1198 | 15 | 26 | |
| 22.
Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study
JMIR AI 2024;3(1):e49784
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| 1161 | 3 | 10 | |
| 23.
Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
JMIR AI 2025;4(1):e76743
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| 1146 | 0 | 12 | |
| 24.
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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| 1131 | 3 | 21 | |
| 25.
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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| 1127 | 9 | 23 | |