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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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| 3335 | 81 | 3 | |
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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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| 2170 | 16 | 1 | |
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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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| 1710 | 11 | 7 | |
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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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| 1242 | 4 | 11 | |
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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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| 1195 | 3 | 1 | |
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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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| 1141 | 4 | 8 | |
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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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| 944 | 9 | 4 | |
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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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| 832 | 1 | 9 | |
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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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| 750 | 15 | 5 | |
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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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| 653 | 9 | 12 | |
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Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study
JMIR AI 2023;2(1):e45000
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| 639 | 7 | 2 | |
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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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| 624 | 8 | 7 | |
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Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
JMIR AI 2024;3(1):e46875
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| 602 | 6 | 1 | |
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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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| 590 | 6 | 3 | |
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A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach
JMIR AI 2023;2(1):e42337
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| 556 | 2 | 2 | |
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Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study
JMIR AI 2023;2(1):e47223
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| 549 | 7 | 3 | |
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Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning–Based Natural Language Processing
JMIR AI 2023;2(1):e44537
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| 546 | 2 | 2 | |
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Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
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| 530 | 7 | 2 | |
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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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| 495 | 3 | 4 | |
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Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?
JMIR AI 2023;2(1):e42940
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| 493 | 34 | 7 | |
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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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| 485 | 0 | 1 | |
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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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| 460 | 0 | 1 | |
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Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study
JMIR AI 2023;2(1):e46769
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| 429 | 3 | 6 | |
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Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study
JMIR AI 2024;3(1):e50525
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| 412 | 10 | 0 | |
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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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| 410 | 11 | 1 | |