Oncology | Pathology Large-scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis-X. June 28, 2023
Oncology | Pathology | Urology Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology. June 26, 2023
Oncology | Pathology Application of deep learning as an ancillary diagnostic tool for thyroid FNA cytology. 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
Artificial Intelligence | Pathology | Urology Evaluation of an artificial intelligence algorithm for assisting the Paris System in reporting urinary cytology: A pilot study. June 21, 2022
Gynecology | Oncology | Pathology Scrutinizing high-risk patients from ASC-US cytology via a deep learning model. March 15, 2022
Pathology | Urology A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens. May 12, 2021
Pathology | Urology Performance of an artificial intelligence algorithm for reporting urine cytopathology. August 14, 2019
Pathology Automating the Paris System for urine cytopathology-A hybrid deep-learning and morphometric approach. February 14, 2019