| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 9290 | 0 | 4 | |
| 2.
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
Go back to the top of the top articles page
Skip top articles and go to footer section
| 3700 | 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 3434 | 0 | 142 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 3187 | 11 | 45 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 2872 | 16 | 10 | |
| 6.
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
JMIR AI 2025;4(1):e58670
Go back to the top of the top articles page
Skip top articles and go to footer section
| 2746 | 13 | 50 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 2300 | 4 | 21 | |
| 8.
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
JMIR AI 2023;2(1):e42936
Go back to the top of the top articles page
Skip top articles and go to footer section
| 2006 | 4 | 49 | |
| 9.
Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses
JMIR AI 2024;3(1):e54482
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1769 | 0 | 57 | |
| 10.
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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1725 | 1 | 33 | |
| 11.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1629 | 51 | 6 | |
| 12.
Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study
JMIR AI 2024;3(1):e56537
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1561 | 8 | 36 | |
| 13.
Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
JMIR AI 2023;2(1):e44432
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1486 | 3 | 10 | |
| 14.
Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study
JMIR AI 2025;4(1):e68960
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1471 | 12 | 11 | |
| 15.
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
JMIR AI 2024;3(1):e46875
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1423 | 6 | 9 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1326 | 8 | 25 | |
| 17.
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework
JMIR AI 2023;2(1):e40755
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1318 | 9 | 6 | |
| 18.
Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1304 | 7 | 36 | |
| 19.
Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial
JMIR AI 2023;2(1):e49023
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1255 | 9 | 106 | |
| 20.
Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
JMIR AI 2024;3(1):e60020
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1251 | 0 | 44 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1189 | 15 | 26 | |
| 22.
Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study
JMIR AI 2024;3(1):e49784
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1133 | 3 | 10 | |
| 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
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1122 | 9 | 22 | |
| 24.
Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study
JMIR AI 2023;2(1):e46487
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1119 | 3 | 20 | |
| 25.
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
Go back to the top of the top articles page
Skip top articles and go to footer section
| 1103 | 31 | 27 | |