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Banff Digital Pathology Working Group: Going digital in transplant pathology
Alton B Farris1, Ishita Moghe2, Simon Wu2
1Emory University, Atlanta, Georgia.
Summary
The Banff Digital Pathology Working Group (DPWG) was established to address challenges in digital pathology, including practice standardization and AI integration. A survey revealed widespread whole slide imaging but limited artificial intelligence adoption among pathologists.
Area of Science:
- Digital pathology
- Histocompatibility and Immunogenetics
- Computational pathology
Background:
- The Banff Digital Pathology Working Group (DPWG) was formed around the 14th Banff Conference in 2019.
- Discussions identified key issues for digital pathology implementation and research.
Purpose of the Study:
- To establish a working group focused on digital pathology within the Banff framework.
- To identify and address critical challenges in the field of digital pathology.
Main Methods:
- Formation of the Banff Digital Pathology Working Group (DPWG).
- Presentations and discussions at the 14th Banff Conference.
- International survey of pathologists regarding digital pathology adoption and tools.
Main Results:
- Whole slide imaging is available in most participating centers (71%).
- Artificial intelligence (AI) and machine learning are utilized in approximately 12% of centers.
- A need for standardization in practice, classification, scoring, and algorithms was highlighted.
Conclusions:
- The Banff DPWG is essential for advancing digital pathology.
- Digitalization is a prerequisite for AI and precision diagnostics.
- Future contributions will focus on standardization and AI integration in pathology.
Keywords:
basic (laboratory) research/sciencebiopsyclassification systems: Banff classificationclinical research/practiceinformaticsorgan transplantation in generalpathology/histopathologyrejection
