Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

  1. Berbís, M.A.
  2. McClintock, D.S.
  3. Bychkov, A.
  4. Van der Laak, J.
  5. Pantanowitz, L.
  6. Lennerz, J.K.
  7. Cheng, J.Y.
  8. Delahunt, B.
  9. Egevad, L.
  10. Eloy, C.
  11. Farris, A.B.
  12. Fraggetta, F.
  13. García del Moral, R.
  14. Hartman, D.J.
  15. Herrmann, M.D.
  16. Hollemans, E.
  17. Iczkowski, K.A.
  18. Karsan, A.
  19. Kriegsmann, M.
  20. Salama, M.E.
  21. Sinard, J.H.
  22. Tuthill, J.M.
  23. Williams, B.
  24. Casado-Sánchez, C.
  25. Sánchez-Turrión, V.
  26. Luna, A.
  27. Aneiros-Fernández, J.
  28. Shen, J.
  29. Show all authors +
Journal:
eBioMedicine

ISSN: 2352-3964

Year of publication: 2023

Volume: 88

Type: Article

DOI: 10.1016/J.EBIOM.2022.104427 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus