| 1.
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
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| 3729 | 81 | 9 | |
| 2.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
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| 2303 | 54 | 10 | |
| 3.
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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| 667 | 34 | 17 | |
| 4.
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
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| 1194 | 31 | 28 | |
| 5.
Ensuring Appropriate Representation in Artificial Intelligence–Generated Medical Imagery: Protocol for a Methodological Approach to Address Skin Tone Bias
JMIR AI 2024;3(1):e58275
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| 453 | 16 | 14 | |
| 6.
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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| 3001 | 16 | 10 | |
| 7.
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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| 1235 | 15 | 27 | |
| 8.
Introducing JMIR AI
JMIR AI 2022;1(1):e42046
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| 422 | 15 | 1 | |
| 9.
Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach
JMIR AI 2024;3(1):e51240
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| 232 | 13 | 8 | |
| 10.
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
JMIR AI 2025;4(1):e58670
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| 3088 | 13 | 70 | |
| 11.
Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study
JMIR AI 2025;4(1):e68960
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| 1666 | 12 | 12 | |
| 12.
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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| 571 | 11 | 20 | |
| 13.
Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study
JMIR AI 2023;2(1):e41818
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| 469 | 11 | 6 | |
| 14.
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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| 834 | 11 | 21 | |
| 15.
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
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| 318 | 11 | 2 | |
| 16.
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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| 3365 | 11 | 50 | |
| 17.
Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study
JMIR AI 2023;2(1):e40843
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| 522 | 10 | 8 | |
| 18.
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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| 966 | 10 | 19 | |
| 19.
Health Care Professionals’ and Parents’ Perspectives on the Use of AI for Pain Monitoring in the Neonatal Intensive Care Unit: Multisite Qualitative Study
JMIR AI 2024;3(1):e51535
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| 592 | 10 | 14 | |
| 20.
Can Large Language Models Replace Therapists? Evaluating Performance at Simple Cognitive Behavioral Therapy Tasks
JMIR AI 2024;3(1):e52500
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| 722 | 10 | 21 | |
| 21.
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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| 1460 | 9 | 136 | |
| 22.
Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework
JMIR AI 2023;2(1):e40755
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| 1358 | 9 | 6 | |
| 23.
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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| 1151 | 9 | 24 | |
| 24.
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies
JMIR AI 2023;2(1):e47995
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| 152 | 9 | 3 | |
| 25.
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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| 426 | 8 | 10 | |