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Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM
2025
1 citations
Journal Article
hybrid Open Access
Field-Weighted Citation Impact:
0.69
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto
Judy Wawira Gichoya
·
Emory University
Walter F. Wiggins
·
University of North Carolina at Greensboro
Brian Bialecki
·
American College of Radiology
K.P. O’Donnell
·
American Society for Reproductive Immunology
Adam E. Flanders
·
Thomas Jefferson University
Matthew B. Morgan
·
University of Utah
Nabile Safdar
·
Emory University
Katherine P. Andriole
·
Brigham and Women's Hospital
J. Raymond Geis
·
National Jewish Health
Bibb Allen
·
American College of Radiology
Keith J. Dreyer
·
American College of Radiology
Matthew P. Lungren
·
Microsoft (United States)
Monica J. Wood
·
Mount Auburn Hospital
Marc Kohli
·
University of California, San Francisco
Steve G. Langer
·
Mayo Clinic in Arizona
George Shih
·
Cornell University
Eduardo Moreno Júdice de Mattos Farina
·
Society for Imaging Informatics in Medicine
Charles E. Kahn
·
University of Pennsylvania
Ingrid Reiser
·
University of Illinois Chicago
Maryellen L. Giger
·
University of Illinois Chicago
Christoph Wald
·
American College of Radiology
John Mongan
·
Radiological Society of North America
Tessa S. Cook
·
University of Pennsylvania
Neil Tenenholtz
·
American College of Radiology
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIM | Researchclopedia