J. Raymond Geis

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 342 Zit. · Radiology

Implementing Machine Learning in Radiology Practice and Research

2017 · 303 Zit. · American Journal of Roentgenology

Medical Image Data and Datasets in the Era of Machine Learning—Whitepaper from the 2016 C-MIMI Meeting Dataset Session

2017 · 195 Zit. · Journal of Digital Imaging

When Machines Think: Radiology’s Next Frontier

2017 · 179 Zit. · Radiology

Ethics of artificial intelligence in radiology: summary of the joint European and North American multisociety statement

2019 · 115 Zit. · Insights into Imaging

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 113 Zit. · Canadian Association of Radiologists Journal

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

2019 · 92 Zit. · Journal of the American College of Radiology

Big Data and Machine Learning—Strategies for Driving This Bus: A Summary of the 2016 Intersociety Summer Conference

2017 · 54 Zit. · Journal of the American College of Radiology

Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data

2021 · 45 Zit. · Journal of the American College of Radiology

The Need for a Machine Learning Curriculum for Radiologists

2018 · 38 Zit. · Journal of the American College of Radiology

AI regulation in healthcare around the world: what is the status quo?

2025 · 6 Zit. · medRxiv

Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 2 Zit. · Medical Physics

Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 1 Zit. · Journal of Imaging Informatics in Medicine

Implementing Digital Imaging in the Developing World

2020 · 0 Zit. · Journal of Digital Imaging

Teaching AI for Radiology Applications: A Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM

2025 · 0 Zit. · Radiology Artificial Intelligence