- Farris, Alton;
- Alexander, Mariam;
- Balis, Ulysses;
- Barisoni, Laura;
- Boor, Peter;
- Bülow, Roman;
- Cornell, Lynn;
- Demetris, Anthony;
- Farkash, Evan;
- Hermsen, Meyke;
- Hogan, Julien;
- Kain, Renate;
- Kers, Jesper;
- Kong, Jun;
- Levenson, Richard;
- Loupy, Alexandre;
- Naesens, Maarten;
- Sarder, Pinaki;
- Tomaszewski, John;
- van der Laak, Jeroen;
- van Midden, Dominique;
- Yagi, Yukako;
- Solez, Kim
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.