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National Jewish Health

17.111 Arbeiten2.655.667 Zitationen
Land: USTyp: healthcare

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology

An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al.

2018 · 502 Zit.

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

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 348 Zit.

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

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 116 Zit.

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

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 113 Zit.

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

J. Raymond Geis, Adrian P. Brady, Carol C. Wu et al.

2019 · 92 Zit.

Ethics, Artificial Intelligence, and Radiology

Marc Kohli, Raym Geis

2018 · 67 Zit.

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

Amy L. Kotsenas, Patricia Balthazar, David Andrews et al.

2021 · 45 Zit.

The Need for a Machine Learning Curriculum for Radiologists

Monica J. Wood, Neil Tenenholtz, J. Raymond Geis et al.

2018 · 38 Zit.

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization

Juan Batlle, Keith J. Dreyer, Bibb Allen et al.

2021 · 27 Zit.

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

Felix Busch, J. Raymond Geis, Y. Wang et al.

2025 · 6 Zit.

Decoupling Visual Parsing and Diagnostic Reasoning for Vision-Language Models (GPT-4o and GPT-5): Analysis Using Thoracic Imaging Quiz Cases

Dae Hee Han, Eui Jin Hwang, Soon Ho Yoon et al.

2025 · 2 Zit.

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

Felipe Kitamura, Timothy L. Kline, Daniel Warren et al.

2025 · 2 Zit.

AI-based Model for the Automatized Quantification and Prognosis of IPF Patients

Julien Guiot, J. Engelberts, B. Ernst et al.

2023 · 2 Zit.

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

Felipe Kitamura, Timothy L. Kline, Daniel Warren et al.

2025 · 1 Zit.

Implementing Digital Imaging in the Developing World

J. Raymond Geis

2020 · 0 Zit.