| 1.
Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis
JMIR AI 2023;2(1):e47283
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| 3670 | 81 | 7 | |
| 2.
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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| 626 | 34 | 14 | |
| 3.
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
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| 998 | 31 | 23 | |
| 4.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
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| 902 | 30 | 1 | |
| 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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| 371 | 16 | 11 | |
| 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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| 2728 | 16 | 9 | |
| 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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| 1166 | 15 | 22 | |
| 8.
Introducing JMIR AI
JMIR AI 2022;1(1):e42046
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| 399 | 15 | 1 | |
| 9.
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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| 2401 | 13 | 35 | |
| 10.
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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| 202 | 13 | 8 | |
| 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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| 1233 | 12 | 8 | |
| 12.
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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| 2985 | 11 | 39 | |
| 13.
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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| 520 | 11 | 17 | |
| 14.
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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| 450 | 11 | 4 | |
| 15.
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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| 734 | 11 | 20 | |
| 16.
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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| 297 | 11 | 2 | |
| 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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| 491 | 10 | 7 | |
| 18.
Can Large Language Models Replace Therapists? Evaluating Performance at Simple Cognitive Behavioral Therapy Tasks
JMIR AI 2024;3(1):e52500
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| 614 | 10 | 19 | |
| 19.
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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| 806 | 10 | 16 | |
| 20.
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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| 521 | 10 | 10 | |
| 21.
Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies
JMIR AI 2023;2(1):e47995
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| 140 | 9 | 3 | |
| 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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| 1297 | 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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| 1087 | 9 | 21 | |
| 24.
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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| 1057 | 9 | 80 | |
| 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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| 410 | 8 | 9 | |