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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

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Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

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Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

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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

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How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review

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Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

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Adolescents’ Well-being While Using a Mobile Artificial Intelligence–Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study

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Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

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The Application of Artificial Intelligence in Health Care Resource Allocation Before and During the COVID-19 Pandemic: Scoping Review

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Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses

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Predicting Treatment Interruption Among People Living With HIV in Nigeria: Machine Learning Approach

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Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study

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Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study

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Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

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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

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Toward Clinical Generative AI: Conceptual Framework

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

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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

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Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

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Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation

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Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

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Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

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Sepsis Prediction at Emergency Department Triage Using Natural Language Processing: Retrospective Cohort Study

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Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

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The Dual Nature of AI in Information Dissemination: Ethical Considerations

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