Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade.
Berbís MA, McClintock DS, Bychkov A, Van der Laak J, Pantanowitz L, Lennerz JK, Cheng JY, Delahunt B, Egevad L, Eloy C, Farris AB 3rd, Fraggetta F, García Del Moral R, Hartman DJ, Herrmann MD, Hollemans E, Iczkowski KA, Karsan A, Kriegsmann M, Salama ME, Sinard JH, Tuthill JM, Williams B, Casado-Sánchez C, Sánchez-Turrión V, Luna A, Aneiros-Fernández J, Shen J.
Berbís MA, et al. Among authors: herrmann md.
EBioMedicine. 2023 Feb;88:104427. doi: 10.1016/j.ebiom.2022.104427. Epub 2023 Jan 4.
EBioMedicine. 2023.
PMID: 36603288
Free PMC article.
INTERPRETATION: This systematic consensus study details the expected short-to-mid-term impact of AI on pathology practice. These findings provide timely and relevant information regarding future care delivery in pathology and raise key practical, ethical, and legal challen …
INTERPRETATION: This systematic consensus study details the expected short-to-mid-term impact of AI on pathology practice. These find …