AUTHOR=Farris Alton B. , Alexander Mariam P. , Balis Ulysses G. J. , Barisoni Laura , Boor Peter , Bülow Roman D. , Cornell Lynn D. , Demetris Anthony J. , Farkash Evan , Hermsen Meyke , Hogan Julien , Kain Renate , Kers Jesper , Kong Jun , Levenson Richard M. , Loupy Alexandre , Naesens Maarten , Sarder Pinaki , Tomaszewski John E. , van der Laak Jeroen , van Midden Dominique , Yagi Yukako , Solez Kim TITLE=Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments JOURNAL=Transplant International VOLUME=36 YEAR=2023 URL=https://www.frontierspartnerships.org/journals/transplant-international/articles/10.3389/ti.2023.11783 DOI=10.3389/ti.2023.11783 ISSN=1432-2277 ABSTRACT=
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 (