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A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization

Zhengzi Yi, Caixia Xi, Madhav C. Menon, Paolo Cravedi, Fasika Tedla, Alan Soto, Zeguo Sun, Keyu Liu, Jason Zhang, Chengguo Wei, Man Chen, Wenlin Wang, Brandon Veremis, Mónica Garcı́a-Barros, Abhishek Kumar, Danielle J. Haakinson, Rachel Brody, Evren U. Azeloglu, Lorenzo Gallon, Philip J. O’Connell, Maarten Naesens, Ron Shapiro, Robert B. Colvin, Stephen C. Ward, Fadi Salem, Weijia Zhang

2023Kidney International27 citationsDOIOpen Access PDF

Topics & Concepts

MedicineKidneyFibrosisTransplantationBiopsyKidney transplantationOrgan procurementPathologyH&E stainSurgeryInternal medicineImmunohistochemistryRenal Transplantation Outcomes and TreatmentsOrgan Donation and TransplantationRenal and Vascular Pathologies
A large-scale retrospective study enabled deep-learning based pathological assessment of frozen procurement kidney biopsies to predict graft loss and guide organ utilization | Litcius