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Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
97
Zitationen
28
Autoren
2023
Jahr
Abstract
No specific funding was provided for this study.
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Autoren
- M. Álvaro Berbís
- David S. McClintock
- Andrey Bychkov
- Jeroen van der Laak
- Liron Pantanowitz
- Jochen K. Lennerz
- Jerome Cheng
- Brett Delahunt
- Lars Egevad
- Catarina Eloy
- Alton B. Farris
- Filippo Fraggetta
- Raimundo García del Moral
- Douglas J. Hartman
- Markus D. Herrmann
- Eva Hollemans
- Kenneth A. Iczkowski
- Aly Karsan
- Mark Kriegsmann
- Mohamed E. Salama
- John H. Sinard
- J. Mark Tuthill
- Bethany Williams
- C. Casado Sánchez
- Víctor Sánchez-Turrión
- Antonio Luna
- José Aneiros‐Fernández
- Jeanne Shen
Institutionen
- Hospital San Juan de Dios(CL)
- Universidad Autónoma de Madrid(ES)
- Mayo Clinic in Arizona(US)
- Kameda Medical Center(JP)
- Radboud University Nijmegen(NL)
- Radboud University Medical Center(NL)
- University of Michigan(US)
- Harvard University(US)
- Massachusetts General Hospital(US)
- University of Otago(NZ)
- Karolinska Institutet(SE)
- Universidade do Porto(PT)
- Emory University(US)
- Instituto de Investigación Biosanitaria de Granada(ES)
- University of Pittsburgh Medical Center(US)
- Erasmus MC(NL)
- Medical College of Wisconsin(US)
- University of British Columbia(CA)
- Canada's Michael Smith Genome Sciences Centre(CA)
- Heidelberg University(DE)
- University Hospital Heidelberg(DE)
- Yale University(US)
- Henry Ford Hospital(US)
- Leeds Teaching Hospitals NHS Trust(GB)
- Hospital Universitario La Paz(ES)
- Hospital Universitario Puerta de Hierro Majadahonda(ES)
- Intel (United States)(US)
- Stanford Medicine(US)
- Artificial Intelligence in Medicine (Canada)(CA)
- Stanford University(US)