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Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
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)-b...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614670/ https://www.ncbi.nlm.nih.gov/pubmed/37908675 http://dx.doi.org/10.3389/ti.2023.11783 |
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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 |
author_facet | 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 |
author_sort | Farris, Alton B. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10614670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106146702023-10-31 Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments 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 Transpl Int Health Archive 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. Frontiers Media S.A. 2023-10-16 /pmc/articles/PMC10614670/ /pubmed/37908675 http://dx.doi.org/10.3389/ti.2023.11783 Text en 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. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Health Archive 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 Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title_full | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title_fullStr | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title_full_unstemmed | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title_short | Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments |
title_sort | banff digital pathology working group: image bank, artificial intelligence algorithm, and challenge trial developments |
topic | Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614670/ https://www.ncbi.nlm.nih.gov/pubmed/37908675 http://dx.doi.org/10.3389/ti.2023.11783 |
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