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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

9351 0 5
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

5184 0 266
3. Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

JMIR AI 2023;2(1):e47283

3763 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

3578 11 57
5. Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

JMIR AI 2025;4(1):e58670

3336 13 95
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

3182 16 14
7. Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

JMIR AI 2025;4(1):e80247

2973 54 33
8. 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

2499 4 27
9. Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses

JMIR AI 2024;3(1):e54482

2312 0 91
10. Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

JMIR AI 2023;2(1):e42936

2188 4 58
11. Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study

JMIR AI 2025;4(1):e68960

1934 12 17
12. 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

1832 1 39
13. Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study

JMIR AI 2024;3(1):e56537

1810 8 49
14. Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

JMIR AI 2023;2(1):e49023

1678 9 160
15. 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

1663 0 24
16. 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

1599 1 39
17. Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study

JMIR AI 2024;3(1):e46875

1569 6 16
18. Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

JMIR AI 2023;2(1):e44432

1546 3 13
19. Toward Clinical Generative AI: Conceptual Framework

JMIR AI 2024;3(1):e55957

1471 7 50
20. 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

1425 8 32
21. Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

JMIR AI 2024;3(1):e60020

1407 0 64
22. Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

JMIR AI 2023;2(1):e40755

1390 9 8
23. Large Language Models for Health Care Text Classification: Systematic Review

JMIR AI 2026;5(1):e79202

1343 0 20
24. Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

JMIR AI 2024;3(1):e49784

1323 3 16
25. Large Language Model–Based Chatbots and Agentic AI for Mental Health Counseling: Systematic Review of Methodologies, Evaluation Frameworks, and Ethical Safeguards

JMIR AI 2026;5(1):e80348

1318 1 9

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