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

JMIR AI 2023;2(1):e47283

2596 53 1
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

JMIR AI 2023;2(1):e42940

278 34 2
Introducing JMIR AI

JMIR AI 2022;1(1):e42046

91 15 0
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

0 14 0
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

108 11 0
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

JMIR AI 2023;2(1):e40843

149 10 0
Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care

JMIR AI 2023;2(1):e42313

91 10 0
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

JMIR AI 2023;2(1):e40755

296 9 0
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

170 8 0
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

182 7 3
Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

JMIR AI 2023;2(1):e40702

120 7 1
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

JMIR AI 2023;2(1):e47995

39 7 1
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study

JMIR AI 2023;2(1):e47223

0 6 0
Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study

JMIR AI 2023;2(1):e45000

370 6 0
Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

JMIR AI 2023;2(1):e47353

0 5 0
Visualizing the Interpretation of a Criteria-Driven System That Automatically Evaluates the Quality of Health News: Exploratory Study of 2 Approaches

JMIR AI 2022;1(1):e37751

28 5 0
Predicting Patient Mortality for Earlier Palliative Care Identification in Medicare Advantage Plans: Features of a Machine Learning Model

JMIR AI 2023;2(1):e42253

101 5 0
A Scalable Radiomics- and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study

JMIR AI 2023;2(1):e44779

62 4 0
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

88 4 0
Provider Perspectives on Artificial Intelligence–Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

JMIR AI 2022;1(1):e41940

52 4 0
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study

JMIR AI 2023;2(1):e44293

145 4 1
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

115 3 1
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

JMIR AI 2023;2(1):e46769

126 3 0
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

JMIR AI 2023;2(1):e42936

357 3 2
Predicting Adherence to Behavior Change Support Systems Using Machine Learning: Systematic Review

JMIR AI 2023;2(1):e46779

0 3 0

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