Latest AI and machine learning research in urology for healthcare professionals.
Artificial intelligence (AI) algorithms such as ENLIGHT and DeepPT represent promising approaches to identify predictive biomarkers for immune checkpoint blockade (ICB). Evaluation of ICB response prediction throughout the span of ICB treatment provides a dynamic perspective of a biomarker's predictive value. A post-hoc analysis of two pan-cancer trials of patients receiving ICB was performed. Sam...
BACKGROUND: This study evaluates the comparative performance of DeepSeek-R1, ChatGPT-5 Pro, and urologists in the specific domains of bladder cancer knowledge retrieval and complex clinical reasoning. METHODS: We constructed a benchmark dataset comprising 91 standardized multiple-choice questions on bladder cancer derived from MedQA, MedMCQA, and the Chinese National Medical Licensing Examination,...
BACKGROUND: National surgical registries such as the American College of Surgeons NSQIP and Japan's National Clinical Database have shown that structu...
BACKGROUND: Some researchers have explored the application of radiomics-based machine learning to detect preoperative muscle invasion, high-grade tumo...
OBJECTIVE: To develop and validate an interpretable machine learning model for distinguishing prostate cancer (PCa) with Gleason Score (GS) ≤ 3+4 from...
BACKGROUND: Lymphovascular invasion (LVI) signifies poor prognosis in bladder cancer, yet reliable preoperative prediction remains challenging, limiti...
BACKGROUND: This study aimed to explore hub circadian rhythm-related genes (CRRGs) associated with sepsis-associated acute kidney injury (saAKI) using...
OBJECTIVE: To construct predictive models for the recurrence of common bile duct stones (CBDS) following endoscopic retrograde cholangiopancreatograph...
Deep learning has rapidly emerged as a transformative technology in oncology, offering new capabilities in treatment response prediction and personali...
The key challenge for artificial intelligence (AI) in urology is no longer technical development alone, but safe translation into regulated clinical u...
Urothelial carcinoma, predominantly appearing as non-muscle-invasive papillary urothelial carcinoma (NMIPUC), exhibits wide clinical variability. Accu...
Accurate International Society of Urological Pathology (ISUP)-grade classification of renal cell carcinoma (RCC) is challenging due to subtle histopat...
In 2021, Maccabi Healthcare Services (MHS) introduced "UTI Smart-Set" (UTIS), an AI-driven decision support system (DSS) based on a machine-learning (...
BACKGROUND: Membranous nephropathy (MN) and IgA nephropathy (IgAN) are the two most common primary glomerular diseases in China, with distinct pathoph...
Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...
Long-term outcomes of kidney allografts vary significantly among deceased donor kidney transplant recipients, and current prediction tools struggle to...
PURPOSE OF REVIEW: This scoping review synthesizes contemporary evidence on the role of simulation, uro-technology and structured training curricula i...
PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerged as a promising tool for processing the vast amo...
BACKGROUND: Large language models (LLMs) are increasingly explored as tools for medical education. However, evidence remains limited regarding their p...
AIM: To evaluate the performance of machine learning models in predicting liver metastasis in colorectal cancer (CRC) patients using the SEER database...