Digital cytology and artificial intelligence (AI) are gaining greater adoption in the
cytopathology laboratory. However, peer-reviewed real-world data and literature are lacking …

Abstract The implementation of Digital Pathology has allowed the development of
computational Pathology. Digital image-based applications that have received FDA …

Background Adopting a computational approach for the assessment of urine cytology
specimens has the potential to improve the efficiency, accuracy, and reliability of bladder …

Background Urine cytology is generally considered the primary approach for screening for
recurrence of bladder cancer. However, it is currently unclear how best to use cytological …

Artificial intelligence (AI) is assuming a central role in anatomic pathology for ancillary
diagnosis in histology and cytology. AI techniques can analyse large amounts of data and …

Background Whole‐slide imaging (WSI) is a promising tool in pathology. However, the use
of WSI in cytopathology has lagged behind that in histology. We aimed to evaluate the utility …

Introduction During the COVID-19 pandemic, the need for digital pathology tools became
more urgent. However, there needs to be more knowledge of the use in cytology. We aimed …

Abstract Background The Paris System for Reporting Urine Cytology defines objective
(elevated nuclear/cytoplasmic ratio≥ 0.7) and subjective (nuclear membrane irregularity …

Cervical cancer is the second most common form of cancer and a leading cause of
premature death among women aged 15 to 44 worldwide. In Brazil, there is a high …

Objectives Few cytologically indeterminate thyroid fine-needle aspirations (FNAs) harbor
BRAF V600E. Here, we assess interobserver agreement for The Bethesda System for …