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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

446 9 7
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

692 2 5
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review

JMIR AI 2023;2(1):e42936

764 3 4
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

389 1 3
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study

JMIR AI 2023;2(1):e44293

234 4 3
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

607 10 2
Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

JMIR AI 2023;2(1):e42940

407 34 2
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study

JMIR AI 2023;2(1):e46769

273 3 2
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

199 11 1
Deep Learning to Detect Pancreatic Cystic Lesions on Abdominal Computed Tomography Scans: Development and Validation Study

JMIR AI 2023;2(1):e40702

234 7 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

223 3 1
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

JMIR AI 2023;2(1):e47995

71 7 1
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

JMIR AI 2023;2(1):e40755

625 9 1
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

440 2 1
Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study

JMIR AI 2023;2(1):e46487

305 3 1
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

1443 14 1
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

196 3 1
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis

JMIR AI 2023;2(1):e47283

2988 66 1
Role of Ethics in Developing AI-Based Applications in Medicine: Insights From Expert Interviews and Discussion of Implications

JMIR AI 2024;3(1):e51204

41 4 1
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

368 8 1
Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

JMIR AI 2023;2(1):e47353

310 5 1
Chronic Disease Prediction Using the Common Data Model: Development Study

JMIR AI 2022;1(1):e41030

289 2 1
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

95 3 1
A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach

JMIR AI 2023;2(1):e42337

346 2 0
Machine Learning Models Versus the National Early Warning Score System for Predicting Deterioration: Retrospective Cohort Study in the United Arab Emirates

JMIR AI 2023;2(1):e45257

183 3 0

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