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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

9312 0 4
2. How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

JMIR AI 2024;3(1):e53207

4187 0 190
3. Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

JMIR AI 2023;2(1):e47283

3729 81 9
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

3365 11 50
5. Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

JMIR AI 2025;4(1):e58670

3088 13 70
6. 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

3001 16 10
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

2394 4 22
8. Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

JMIR AI 2025;4(1):e80247

2303 54 10
9. Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

JMIR AI 2023;2(1):e42936

2057 4 51
10. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses

JMIR AI 2024;3(1):e54482

2017 0 74
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

1768 1 36
12. Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study

JMIR AI 2025;4(1):e68960

1666 12 12
13. Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study

JMIR AI 2024;3(1):e56537

1663 8 42
14. Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

JMIR AI 2023;2(1):e44432

1508 3 11
15. Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study

JMIR AI 2024;3(1):e46875

1500 6 12
16. Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

JMIR AI 2023;2(1):e49023

1460 9 136
17. Toward Clinical Generative AI: Conceptual Framework

JMIR AI 2024;3(1):e55957

1378 7 42
18. 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

1366 8 26
19. Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

JMIR AI 2023;2(1):e40755

1358 9 6
20. Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

JMIR AI 2024;3(1):e60020

1343 0 56
21. 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

1337 0 22
22. Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study

JMIR AI 2025;4(1):e75262

1315 0 13
23. 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

1235 15 27
24. Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

JMIR AI 2024;3(1):e49784

1230 3 11
25. Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

JMIR AI 2024;3(1):e52615

1194 31 28

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