ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2020
Banff Digital Pathology Working Group: Going digital in transplant pathology.
Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Time for a full digital approach in nephropathology: a systematic review of current artificial intelligence applications and future directions.Journal of nephrology · 2024Pooled it
- KT-LLM: an evidence-grounded and sequence text framework for auditable kidney transplant modeling.NPJ digital medicine · 2026Article
- Renal Allograft Pathology Classifications: Contemporary Updates and Diagnostic Utility.Cureus · 2025Review
- The Use of Machine Learning in the Diagnosis of Kidney Allograft Rejection: Current Knowledge and Applications.Diagnostics (Basel, Switzerland) · 2024Review
- The Banff 2022 Kidney Meeting Work Plan: Data-driven refinement of the Banff Classification for renal allografts.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024Article
- The Puzzle of Preimplantation Kidney Biopsy Decision-Making Process: The Pathologist Perspective.Life (Basel, Switzerland) · 2024Review
- Evolution of human kidney allograft pathology diagnostics through 30 years of the Banff classification process.World journal of transplantation · 2023Review
- Histology for nephrology, from pre-implantation to post-transplant kidney biopsy. Lesson learned from ReBIrth (Renal BIopsy for Kidney Transplantation Therapy).Pathologica · 2023Review
- Progress in Pathological Diagnosis after Kidney Transplantation: Current Trend and Future Perspective.Journal of atherosclerosis and thrombosis · 2023Review
- Horizon of the pre-implantation kidney biopsy for allocation: multidisciplinarity, methodology and innovation.Journal of nephrology · 2023Article
- Automating kidney transplant diagnostics.Nature medicine · 2023Article
- An automated histological classification system for precision diagnostics of kidney allografts.Nature medicine · 2023Article
- Second Opinion in the Italian Organ Procurement Transplantation: The Pathologist Is In.Clinics and practice · 2023Article
- Transitioning of renal transplant pathology from allograft to xenograft and tissue engineering pathology: Are we prepared?World journal of transplantation · 2023Review
- The Dawn of a New Era in Kidney Transplantation: Promises and Limitations of Artificial Intelligence for Precision Diagnostics.Transplant international : official journal of the European Society for Organ Transplantation · 2023Article
- Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments.Transplant international : official journal of the European Society for Organ Transplantation · 2023Article
- Computer-assisted evaluation enhances the quantification of interstitial fibrosis in renal implantation biopsies, measures differences between frozen and paraffin sections, and predicts delayed graft function.Journal of nephrology · 2022Article
- Identification of glomerulosclerosis using IBM Watson and shallow neural networks.Journal of nephrology · 2022Article
- Artificial intelligence: is there a potential role in nephropathology?Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2022Article
- Harnessing the B Cell Response in Kidney Transplantation - Current State and Future Directions.Frontiers in immunology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23-27, 2019, held in Pittsburgh, Pennsylvania. At the meeting, the 14th Banff Conference, presentations directly and peripherally related to the topic of "digital pathology" were presented; and discussions before, during, and after the meeting have resulted in a list of issues to address for the DPWG. Included are practice standardization, integrative approaches for study classification, scoring of histologic parameters (eg, interstitial fibrosis and tubular atrophy and inflammation), algorithm classification, and precision diagnosis (eg, molecular pathways and therapeutics). Since the meeting, a survey with international participation of mostly pathologists (81%) was conducted, showing that whole slide imaging is available at the majority of centers (71%) but that artificial intelligence (AI)/machine learning was only used in ≈12% of centers, with a wide variety of programs/algorithms employed. Digitalization is not just an end in itself. It also is a necessary precondition for AI and other approaches. Discussions at the meeting and the survey highlight the unmet need for a Banff DPWG and point the way toward future contributions that can be made.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.