Pathology | Urology Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods. April 25, 2024
Pathology | Urology A deep-learning workflow to predict upper tract urothelial carcinoma protein-based subtypes from H&E slides supporting the prioritization of patients for molecular testing. March 20, 2024
Oncology | Pathology An artificial intelligence-powered PD-L1 combined positive score (CPS) analyser in urothelial carcinoma alleviating interobserver and intersite variability. March 13, 2024
Medical Imaging | Pathology | Urology A Fully Automated Artificial Intelligence System to Assist Pathologists’ Diagnosis to Predict Histologically High-grade Urothelial Carcinoma from Digitized Urine Cytology Slides Using Deep Learning. December 8, 2023
Pathology | Urology Artificial intelligence to improve cytology performance in urothelial carcinoma diagnosis: results from validation phase of the French, multicenter, prospective VISIOCYT1 trial. July 22, 2023
Pathology | Urology Deep Learning-Based Screening of Urothelial Carcinoma in Whole Slide Images of Liquid-Based Cytology Urine Specimens. January 8, 2023
Artificial Intelligence in Healthcare | Oncology | Pathology Differentiation of urothelial carcinoma in histopathology images using deep learning and visualization. December 16, 2022
Oncology | Pathology | Urology Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning-based image preprocessing technique. August 23, 2022
Pathology | Urology A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens. May 12, 2021