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

BACKGROUND: Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic pathology (AP) laboratories. This survey gathered curre...

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Detalles Bibliográficos
Autores principales: Berbís, M. Alvaro, McClintock, David S., Bychkov, Andrey, Van der Laak, Jeroen, Pantanowitz, Liron, Lennerz, Jochen K., Cheng, Jerome Y., Delahunt, Brett, Egevad, Lars, Eloy, Catarina, Farris, Alton B., Fraggetta, Filippo, García del Moral, Raimundo, Hartman, Douglas J., Herrmann, Markus D., Hollemans, Eva, Iczkowski, Kenneth A., Karsan, Aly, Kriegsmann, Mark, Salama, Mohamed E., Sinard, John H., Tuthill, J. Mark, Williams, Bethany, Casado-Sánchez, César, Sánchez-Turrión, Víctor, Luna, Antonio, Aneiros-Fernández, José, Shen, Jeanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823157/
https://www.ncbi.nlm.nih.gov/pubmed/36603288
http://dx.doi.org/10.1016/j.ebiom.2022.104427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823157/
https://www.ncbi.nlm.nih.gov/pubmed/36603288
http://dx.doi.org/10.1016/j.ebiom.2022.104427

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