Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

Artificial intelligence is highly regarded as the most promising future technology that will
have a great impact on healthcare across all specialties. Its subsets, machine learning, deep …

Simple Summary Our study provides an overview of the current state of artificial intelligence
applications in urooncology and explores potential future advancements in this field. With …

Simple Summary Laboratory and imaging tests as well as endoscopic procedures are
standard diagnostic tools for the diagnosis of upper urinary tract urothelial carcinoma. We …

Simple Summary Artificial intelligence (AI) has attracted significant interest in the healthcare
sector due to its promising results. Cytological examination is a critical step in the initial …

Background The Paris System for Reporting Urinary Cytology (TPS) has been shown to
improve bladder cancer diagnosis. Advances in artificial intelligence (AI) may assist and …

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

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 …

Cytopathology represents a well established diagnostic approach because of its limited cost,
reliability, and minimal invasiveness with respect to other methodologies. The evolving …

Background Urine cytology, although a useful screening method for urothelial carcinoma,
lacks sensitivity. As an emerging technology, artificial intelligence (AI) improved image …