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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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| 482 | 9 | 9 | |
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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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| 836 | 3 | 6 | |
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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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| 845 | 4 | 6 | |
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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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| 493 | 1 | 5 | |
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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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| 412 | 8 | 4 | |
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Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study
JMIR AI 2023;2(1):e44293
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| 252 | 4 | 3 | |
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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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| 684 | 9 | 3 | |
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Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study
JMIR AI 2023;2(1):e44909
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| 226 | 3 | 3 | |
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Chronic Disease Prediction Using the Common Data Model: Development Study
JMIR AI 2022;1(1):e41030
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| 322 | 2 | 3 | |
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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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| 297 | 3 | 3 | |
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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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| 376 | 6 | 2 | |
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Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study
JMIR AI 2024;3(1):e52095
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| 86 | 11 | 2 | |
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Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study
JMIR AI 2023;2(1):e40702
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| 253 | 8 | 2 | |
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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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| 779 | 11 | 2 | |
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Physicians’ and Machine Learning Researchers’ Perspectives on Ethical Issues in the Early Development of Clinical Machine Learning Tools: Qualitative Interview Study
JMIR AI 2023;2(1):e47449
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| 107 | 3 | 2 | |
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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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| 61 | 9 | 2 | |
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Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications
JMIR AI 2024;3(1):e51204
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| 78 | 4 | 2 | |
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Prediction of Chronic Stress and Protective Factors in Adults: Development of an Interpretable Prediction Model Based on XGBoost and SHAP Using National Cross-sectional DEGS1 Data
JMIR AI 2023;2(1):e41868
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| 160 | 5 | 2 | |
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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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| 425 | 34 | 2 | |
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Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies
JMIR AI 2023;2(1):e47995
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| 84 | 7 | 2 | |
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Momentary Depressive Feeling Detection Using X (Formerly Twitter) Data: Contextual Language Approach
JMIR AI 2023;2(1):e49531
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| 69 | 3 | 2 | |
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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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| 3107 | 71 | 2 | |
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Enabling Early Health Care Intervention by Detecting Depression in Users of Web-Based Forums using Language Models: Longitudinal Analysis and Evaluation
JMIR AI 2023;2(1):e41205
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| 220 | 11 | 1 | |
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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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| 1595 | 16 | 1 | |
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Developing an Inpatient Electronic Medical Record Phenotype for Hospital-Acquired Pressure Injuries: Case Study Using Natural Language Processing Models
JMIR AI 2023;2(1):e41264
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| 243 | 3 | 1 | |