National Jewish Health
Relevante Arbeiten
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 · 497 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 · 341 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 · 112 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 · 66 Zit.
Rethinking Patient Consent in the Era of Artificial Intelligence and Big Data
Amy L. Kotsenas, Patricia Balthazar, David Andrews et al.
2021 · 44 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.
Large Language Model-Generated Expansion of the RadLex Ontology: Application to Multinational Datasets of Chest CT Reports
Taehee Lee, Hyungjin Kim, Seowoo Lee et al.
2026 · 0 Zit.