| 1.
How Explainable Artificial Intelligence Can Increase or Decrease Clinicians’ Trust in AI Applications in Health Care: Systematic Review
JMIR AI 2024;3(1):e53207
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| 5374 | 0 | 301 | |
| 2.
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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| 1746 | 9 | 170 | |
| 3.
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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| 3388 | 13 | 102 | |
| 4.
Comparing the Efficacy and Efficiency of Human and Generative AI: Qualitative Thematic Analyses
JMIR AI 2024;3(1):e54482
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| 2389 | 0 | 94 | |
| 5.
Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study
JMIR AI 2024;3(1):e60020
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| 1425 | 0 | 66 | |
| 6.
Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
JMIR AI 2023;2(1):e42936
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| 2202 | 4 | 62 | |
| 7.
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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| 3664 | 11 | 60 | |
| 8.
Large Language Models for Thematic Summarization in Qualitative Health Care Research: Comparative Analysis of Model and Human Performance
JMIR AI 2025;4(1):e64447
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| 1130 | 0 | 56 | |
| 9.
Predetermined Change Control Plans: Guiding Principles for Advancing Safe, Effective, and High-Quality AI-ML Technologies
JMIR AI 2025;4(1):e76854
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| 533 | 0 | 53 | |
| 10.
Toward Clinical Generative AI: Conceptual Framework
JMIR AI 2024;3(1):e55957
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| 1487 | 7 | 52 | |
| 11.
Evaluating Literature Reviews Conducted by Humans Versus ChatGPT: Comparative Study
JMIR AI 2024;3(1):e56537
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| 1842 | 8 | 51 | |
| 12.
Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review
JMIR AI 2025;4(1):e76743
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| 1700 | 1 | 47 | |
| 13.
Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study
JMIR AI 2025;4(1):e60847
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| 1164 | 0 | 46 | |
| 14.
A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study
JMIR AI 2024;3(1):e52171
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| 954 | 3 | 44 | |
| 15.
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
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| 1852 | 1 | 43 | |
| 16.
Regulatory Frameworks for AI-Enabled Medical Device Software in China: Comparative Analysis and Review of Implications for Global Manufacturer
JMIR AI 2024;3(1):e46871
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| 959 | 0 | 42 | |
| 17.
Transparent Reporting of AI in Systematic Literature Reviews: Development of the PRISMA-trAIce Checklist
JMIR AI 2025;4(1):e80247
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| 3171 | 54 | 38 | |
| 18.
Self-Supervised Electroencephalogram Representation Learning for Automatic Sleep Staging: Model Development and Evaluation Study
JMIR AI 2023;2(1):e46769
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| 815 | 3 | 36 | |
| 19.
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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| 1279 | 15 | 36 | |
| 20.
Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study
JMIR AI 2024;3(1):e51834
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| 739 | 3 | 34 | |
| 21.
Artificial Intelligence in Health Care—Understanding Patient Information Needs and Designing Comprehensible Transparency: Qualitative Study
JMIR AI 2023;2(1):e46487
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| 1253 | 3 | 33 | |
| 22.
The Utility and Implications of Ambient Scribes in Primary Care
JMIR AI 2024;3(1):e57673
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| 1030 | 0 | 32 | |
| 23.
Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial
JMIR AI 2024;3(1):e52615
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| 1310 | 31 | 32 | |
| 24.
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
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| 1436 | 8 | 32 | |
| 25.
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
JMIR AI 2024;3(1):e55833
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| 725 | 0 | 30 | |