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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

Radiology. Artificial intelligence, 2020-03, Vol.2 (2), p.e200029-e200029

2020

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From Images to Actions: Opportunities for Artificial Intelligence in Radiology

Radiology, 2017-12, Vol.285 (3), p.719-720

Kahn, Charles E.

2017

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Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects

International journal of computer vision, 2024, Vol.132 (9), p.3753-3769

2024

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Common Data Elements in Radiology

Radiology, 2017-06, Vol.283 (3), p.837-844

2017

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How AI May Transform Musculoskeletal Imaging

Radiology, 2024-01, Vol.310 (1), p.e230764

2024

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Automated detection of causal relationships among diseases and imaging findings in textual radiology reports

Journal of the American Medical Informatics Association : JAMIA, 2023-09, Vol.30 (10), p.1701-1706

2023

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To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

European radiology, 2021-06, Vol.31 (6), p.3786-3796

2021

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Applications of natural language processing in radiology: A systematic review

International journal of medical informatics (Shannon, Ireland), 2022-07, Vol.163, p.104779-104779, Article 104779

2022

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Patients' Use and Evaluation of an Online System to Annotate Radiology Reports with Lay Language Definitions

Academic radiology, 2017-09, Vol.24 (9), p.1169-1174

2017

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Artificial intelligence and machine learning in cancer imaging

Communications medicine, 2022-10, Vol.2 (1), p.133-133, Article 133

2022

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Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM)

Korean Journal of Radiology, 2024, 25(10), , pp.865-868

2024

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Editor's Note: Revised Conflict of Interest Statement for RSNA Journals

Radiology, 2022-12, Vol.305 (3), p.497-497

2022

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Coverage and Readability of Information Resources to Help Patients Understand Radiology Reports

Journal of the American College of Radiology, 2018-12, Vol.15 (12), p.1681-1686

2018

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Mentoring Radiologists and Imaging Scientists in the Postpandemic Digital Era

Radiology, 2023-12, Vol.309 (3), p.e231702

2023

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Impact of Artificial Intelligence–Assisted Indication Selection on Appropriateness Order Scoring for Imaging Clinical Decision Support

Journal of the American College of Radiology, 2023-12, Vol.20 (12), p.1258-1266

2023

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Reporting initiative of the Radiological Society of North America: progress and new directions

Radiology, 2014-12, Vol.273 (3), p.642-645

2014

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Data Resources: Milestones and Building Blocks

Radiology. Artificial intelligence, 2023-11, Vol.5 (6), p.e230418

Kahn, Jr, Charles E

2023

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Editor's Recognition Awards

Radiology. Artificial intelligence, 2024-03, Vol.6 (2), p.e240139-e240139

Kahn, Jr, Charles E

2024

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Clinical Evaluation of a Lay-Language Radiology Glossary Integrated into an Electronic Health Record System

Studies in health technology and informatics, 2024, Vol.310, p.1101

Kahn, Jr, Charles E

2024

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Celebrating the Journal's First 5 Years

Radiology. Artificial intelligence, 2024-01, Vol.6 (1), p.e240037-e240037

Kahn, Jr, Charles E

2024

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Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility

Investigative radiology, 2024-07

2024

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How users search and what they search for in the medical domain: Understanding laypeople and experts through query logs

Information retrieval (Boston), 2016-04, Vol.19 (1-2), p.189-224

2016

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A Large Language Model to Detect Negated Expressions in Radiology Reports

Journal of Imaging Informatics in Medicine, 2024-09

2024

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PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Nature medicine, 2023-01, Vol.29 (1), p.14-15

2023

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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

From Images to Actions: Opportunities for Artificial Intelligence in Radiology

Multimodal Machine Learning in Image-Based and Clinical Biomedicine: Survey and Prospects

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Common Data Elements in Radiology

How AI May Transform Musculoskeletal Imaging

Automated detection of causal relationships among diseases and imaging findings in textual radiology reports

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Applications of natural language processing in radiology: A systematic review

Patients' Use and Evaluation of an Online System to Annotate Radiology Reports with Lay Language Definitions

Artificial intelligence and machine learning in cancer imaging

Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM)

Editor's Note: Revised Conflict of Interest Statement for RSNA Journals

Coverage and Readability of Information Resources to Help Patients Understand Radiology Reports

Mentoring Radiologists and Imaging Scientists in the Postpandemic Digital Era

Impact of Artificial Intelligence–Assisted Indication Selection on Appropriateness Order Scoring for Imaging Clinical Decision Support

Reporting initiative of the Radiological Society of North America: progress and new directions

Data Resources: Milestones and Building Blocks

Editor's Recognition Awards

Clinical Evaluation of a Lay-Language Radiology Glossary Integrated into an Electronic Health Record System

Celebrating the Journal's First 5 Years

Advancing Medical Imaging Research Through Standardization: The Path to Rapid Development, Rigorous Validation, and Robust Reproducibility

How users search and what they search for in the medical domain: Understanding laypeople and experts through query logs

A Large Language Model to Detect Negated Expressions in Radiology Reports

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

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