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

JMIR AI 2023;2(1):e47283

3740 81 9
2. Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist

JMIR AI 2025;4(1):e80247

2643 54 17
3. Artificial Intelligence Algorithms in Health Care: Is the Current Food and Drug Administration Regulation Sufficient?

JMIR AI 2023;2(1):e42940

683 34 17
4. Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial

JMIR AI 2024;3(1):e52615

1229 31 29
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

462 16 15
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

3077 16 13
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

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1245 15 29
8. Introducing JMIR AI

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431 15 1
9. Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

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241 13 9
10. Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

JMIR AI 2025;4(1):e58670

3215 13 81
11. Trust, Anxious Attachment, and Conversational AI Adoption Intentions in Digital Counseling: A Preliminary Cross-Sectional Questionnaire Study

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1754 12 13
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

583 11 21
13. Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study

JMIR AI 2023;2(1):e41818

488 11 6
14. Sample Size Considerations for Fine-Tuning Large Language Models for Named Entity Recognition Tasks: Methodological Study

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855 11 23
15. Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care

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323 11 2
16. Using Conversational AI to Facilitate Mental Health Assessments and Improve Clinical Efficiency Within Psychotherapy Services: Real-World Observational Study

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3441 11 53
17. Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

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529 10 8
18. Risk Perception, Acceptance, and Trust of Using AI in Gastroenterology Practice in the Asia-Pacific Region: Web-Based Survey Study

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985 10 20
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

610 10 16
20. Can Large Language Models Replace Therapists? Evaluating Performance at Simple Cognitive Behavioral Therapy Tasks

JMIR AI 2024;3(1):e52500

747 10 22
21. Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial

JMIR AI 2023;2(1):e49023

1557 9 145
22. Patient Embeddings From Diagnosis Codes for Health Care Prediction Tasks: Pat2Vec Machine Learning Framework

JMIR AI 2023;2(1):e40755

1371 9 8
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

1167 9 25
24. Reporting and Methodological Observations on Prognostic and Diagnostic Machine Learning Studies

JMIR AI 2023;2(1):e47995

155 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

432 8 10

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