Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the <i>AJR</i> Special Series on DEI-Reference-Cited by-同舟云学术

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Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI

Published:2023-09 Issue:3 Volume:221 Page:302-308
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Davis Melissa A.¹,Lim Nicholas²,Jordan John³,Yee Judy⁴,Gichoya Judy Wawira⁵,Lee Ryan²

Affiliation:

1. Department of Diagnostic Radiology, Yale University School of Medicine, 789 Howard Ave, PO Box 20842, New Haven, CT 06520.

2. Jefferson Health, Philadelphia, PA.

3. Stanford University School of Medicine, Stanford, CA.

4. Montefiore Medical Center, Albert Einstein College of Medicine, New York, NY.

5. Department of Biology, Emory University, Atlanta, GA.

Publisher

American Roentgen Ray Society

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.22.28802

Reference70 articles.

1. Machine Learning in Radiology: Applications Beyond Image Interpretation

2. The future of radiology augmented with Artificial Intelligence: A strategy for success

3. 2020 ACR Data Science Institute Artificial Intelligence Survey

4. Implementation of Clinical Artificial Intelligence in Radiology: Who Decides and How?

5. Health Care Disparities in Radiology—A Review of the Current Literature

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1. Rethinking our relationship with AI: for better or worse, richer or poorer?;European Radiology;2024-08-02

2. Climate change and artificial intelligence in healthcare: Review and recommendations towards a sustainable future;Diagnostic and Interventional Imaging;2024-06

3. Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives;BMC Medical Ethics;2024-05-11

4. Understanding and Mitigating Bias in Imaging Artificial Intelligence;RadioGraphics;2024-05-01

5. Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing;BJR|Artificial Intelligence;2024-01-01

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