Introduction Artificial intelligence (AI) integration in nephropathology has been growing
rapidly in recent years, facing several challenges including the wide range of histological …

Introduction Despite advancements in diagnostic methods, the classification of
indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical …

Renal amyloidosis is a rare condition caused by the progressive accumulation of misfolded
proteins within glomeruli, vessels, and interstitium, causing functional decline and requiring …

Aims Diabetic nephropathy is a major consequence of inflammation developing in type 1
diabetes, with interleukin‐8 (IL‐8)‐CXCR1/2 axis playing a key role in kidney disease …

Background Pre-transplant procurement biopsy interpretation is challenging, also because
of the low number of renal pathology experts. Artificial intelligence (AI) can assist by aiding …

Objective The use of standardized structured reports (SSR) and suitable terminologies like
SNOMED-CT can enhance data retrieval and analysis, fostering large-scale studies and …

The estimation of tumor cellular fraction (TCF) is a crucial step in predictive molecular
pathology, representing an entry adequacy criterion also in the next-generation sequencing …

Kidneys are often targets of systemic vasculitis (SVs), being affected in many different forms
and representing a possible sentinel of an underlying multi-organ condition. Renal biopsy …

Aim The digital transformation of the pathology laboratory is being continuously sustained by
the introduction of innovative technologies promoting whole slide image (WSI)-based …

The development of reliable artificial intelligence (AI) algorithms in pathology often depends
on ground truth provided by annotation of whole slide images (WSI), a time-consuming and …