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Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria

Healthcare Informatics Research, 2019, 25(2), , pp.89-98

2019

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An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

The Lancet. Digital health, 2022-04, Vol.4 (4), p.e212-e213

2022

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The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging

Journal of the American College of Radiology, 2019-09, Vol.16 (9), p.1273-1278

2019

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The limits of fair medical imaging AI in real-world generalization

Nature medicine, 2024-10, Vol.30 (10), p.2838-2848

2024

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Ethical debates amidst flawed healthcare artificial intelligence metrics

NPJ digital medicine, 2024-09, Vol.7 (1), p.243-3, Article 243

2024

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PLHI-MC10: A dataset of exercise activities captured through a triple synchronous medically-approved sensor

Data in brief, 2021-10, Vol.38, p.107287-107287, Article 107287

2021

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Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation

Journal of digital imaging, 2022-04, Vol.35 (2), p.137-152

2022

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Utility of Skin Tone on Pulse Oximetry in Critically Ill Patients: A Prospective Cohort Study

Critical care explorations, 2024-09, Vol.6 (9), p.e1133

2024

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Ethics of large language models in medicine and medical research

The Lancet. Digital health, 2023-06, Vol.5 (6), p.e333-e335

2023

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Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19

Critical care explorations, 2024-03, Vol.6 (3), p.e1059

2024

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Structural under-reporting of informed consent, data handling and sharing, ethical approval, and application of Open Science principles as proxies for study quality conduct in COVID-19 research: a systematic scoping review

BMJ global health, 2023-05, Vol.8 (5), p.e012007

2023

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Efficient adversarial debiasing with concept activation vector — Medical image case-studies

Journal of biomedical informatics, 2024-01, Vol.149, p.104548-104548, Article 104548

2024

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Machine Learning for the Interventional Radiologist

American journal of roentgenology (1976), 2019-10, Vol.213 (4), p.782-784

2019

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Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports

Clinical imaging, 2023-09, Vol.101, p.137-141

2023

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Understanding Radiological Journal Views and Policies on Large Language Models in Academic Writing

Journal of the American College of Radiology, 2024-04, Vol.21 (4), p.678-682

2024

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Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review

International journal of medical informatics (Shannon, Ireland), 2024-02, Vol.182, p.105303-105303, Article 105303

2024

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How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?

Radiology. Artificial intelligence, 2020-05, Vol.2 (3), p.e200053-e200053

2020

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The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions

Academic radiology, 2022-12, Vol.29 (12), p.1899-1902

2022

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Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study

International journal of medical informatics (Shannon, Ireland), 2023-10, Vol.178, p.105211-105211, Article 105211

2023

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Margin-aware intraclass novelty identification for medical images

Journal of medical imaging (Bellingham, Wash.), 2022-01, Vol.9 (1), p.014004-014004

2022

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A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

Journal of Imaging Informatics in Medicine, 2024-10, Vol.37 (5), p.2015-2024

2024

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Intellectual property: A primer for radiologists

Clinical imaging, 2022-11, Vol.91, p.60-63

2022

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A Systematic Review of ‘Fair’ AI Model Development for Image Classification and Prediction

Journal of medical and biological engineering, 2022-12, Vol.42 (6), p.816-827

2022

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Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging

Journal of medical imaging (Bellingham, Wash.), 2023-11, Vol.10 (6), p.061101-061101

2023

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The Artificial Intelligence Journal Club (#RADAIJC): A Multi-Institutional Resident-Driven Web-Based Educational Initiative

Academic radiology, 2020-01, Vol.27 (1), p.136-139

2020

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Comparison of Open-Source Electronic Health Record Systems Based on Functional and User Performance Criteria

An interactive dashboard to track themes, development maturity, and global equity in clinical artificial intelligence research

The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging

The limits of fair medical imaging AI in real-world generalization

Ethical debates amidst flawed healthcare artificial intelligence metrics

PLHI-MC10: A dataset of exercise activities captured through a triple synchronous medically-approved sensor

Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation

Utility of Skin Tone on Pulse Oximetry in Critically Ill Patients: A Prospective Cohort Study

Ethics of large language models in medicine and medical research

Racial Differences in Accuracy of Predictive Models for High-Flow Nasal Cannula Failure in COVID-19

Structural under-reporting of informed consent, data handling and sharing, ethical approval, and application of Open Science principles as proxies for study quality conduct in COVID-19 research: a systematic scoping review

Efficient adversarial debiasing with concept activation vector — Medical image case-studies

Machine Learning for the Interventional Radiologist

Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports

Understanding Radiological Journal Views and Policies on Large Language Models in Academic Writing

Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review

How Might AI and Chest Imaging Help Unravel COVID-19's Mysteries?

The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions

Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study

Margin-aware intraclass novelty identification for medical images

A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey

Intellectual property: A primer for radiologists

A Systematic Review of ‘Fair’ AI Model Development for Image Classification and Prediction

Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging

The Artificial Intelligence Journal Club (#RADAIJC): A Multi-Institutional Resident-Driven Web-Based Educational Initiative

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