TY - JOUR
T1 - Banff Digital Pathology Working Group
T2 - Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
AU - Farris, Alton B.
AU - Alexander, Mariam P.
AU - Balis, Ulysses G.J.
AU - Barisoni, Laura
AU - Boor, Peter
AU - Bülow, Roman D.
AU - Cornell, Lynn D.
AU - Demetris, Anthony J.
AU - Farkash, Evan
AU - Hermsen, Meyke
AU - Hogan, Julien
AU - Kain, Renate
AU - Kers, Jesper
AU - Kong, Jun
AU - Levenson, Richard M.
AU - Loupy, Alexandre
AU - Naesens, Maarten
AU - Sarder, Pinaki
AU - Tomaszewski, John E.
AU - van der Laak, Jeroen
AU - van Midden, Dominique
AU - Yagi, Yukako
AU - Solez, Kim
N1 - Publisher Copyright:
Copyright © 2023 Farris, Alexander, Balis, Barisoni, Boor, Bülow, Cornell, Demetris, Farkash, Hermsen, Hogan, Kain, Kers, Kong, Levenson, Loupy, Naesens, Sarder, Tomaszewski, van der Laak, van Midden, Yagi and Solez.
PY - 2023
Y1 - 2023
N2 - The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists’ visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.
AB - The Banff Digital Pathology Working Group (DPWG) was established with the goal to establish a digital pathology repository; develop, validate, and share models for image analysis; and foster collaborations using regular videoconferencing. During the calls, a variety of artificial intelligence (AI)-based support systems for transplantation pathology were presented. Potential collaborations in a competition/trial on AI applied to kidney transplant specimens, including the DIAGGRAFT challenge (staining of biopsies at multiple institutions, pathologists’ visual assessment, and development and validation of new and pre-existing Banff scoring algorithms), were also discussed. To determine the next steps, a survey was conducted, primarily focusing on the feasibility of establishing a digital pathology repository and identifying potential hosts. Sixteen of the 35 respondents (46%) had access to a server hosting a digital pathology repository, with 2 respondents that could serve as a potential host at no cost to the DPWG. The 16 digital pathology repositories collected specimens from various organs, with the largest constituent being kidney (n = 12,870 specimens). A DPWG pilot digital pathology repository was established, and there are plans for a competition/trial with the DIAGGRAFT project. Utilizing existing resources and previously established models, the Banff DPWG is establishing new resources for the Banff community.
KW - Banff
KW - artificial intelligence
KW - digital pathology
KW - image analysis
KW - machine learning
UR - https://www.scopus.com/pages/publications/85175542452
U2 - 10.3389/ti.2023.11783
DO - 10.3389/ti.2023.11783
M3 - Article
C2 - 37908675
AN - SCOPUS:85175542452
SN - 0934-0874
VL - 36
JO - Transplant International
JF - Transplant International
M1 - 11783
ER -