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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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| 9251 | 0 | 4 | |
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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
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| 3645 | 81 | 7 | |
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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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| 2874 | 11 | 34 | |
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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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| 2686 | 16 | 9 | |
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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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| 2480 | 0 | 97 | |
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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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| 2256 | 13 | 29 | |
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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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| 2113 | 4 | 19 | |
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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
JMIR AI 2023;2(1):e42936
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| 1912 | 4 | 43 | |
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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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| 1583 | 1 | 27 | |
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Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses
JMIR AI 2024;3(1):e54482
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| 1465 | 0 | 43 | |
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Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach
JMIR AI 2023;2(1):e44432
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| 1416 | 3 | 8 | |
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Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study
JMIR AI 2024;3(1):e56537
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| 1376 | 8 | 32 | |
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Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework
JMIR AI 2023;2(1):e40755
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| 1288 | 9 | 6 | |
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Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
JMIR AI 2024;3(1):e46875
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| 1274 | 6 | 9 | |
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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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| 1229 | 8 | 22 | |
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Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
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| 1192 | 7 | 34 | |
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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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| 1147 | 12 | 8 | |
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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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| 1142 | 15 | 21 | |
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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
JMIR AI 2024;3(1):e60020
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| 1111 | 0 | 36 | |
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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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| 987 | 3 | 16 | |
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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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| 985 | 9 | 72 | |
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Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
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| 965 | 31 | 21 | |
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Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study
JMIR AI 2024;3(1):e49784
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| 963 | 3 | 7 | |
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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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| 944 | 9 | 20 | |
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Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study
JMIR AI 2023;2(1):e47353
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| 891 | 6 | 12 | |