Latest AI and machine learning research in urology for healthcare professionals.
Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of pediatric kidney failure, but predicting individual progression remains challenging. This multicenter study developed and validated POCC, a machine learning model for predicting kidney failure risk at 1, 3, and 5 years post-diagnosis in CAKUT patients. Two versions were created using data from 2249 children. The ...
BACKGROUND: Urology presents unique challenges for AI systems, requiring both extensive medical knowledge and advanced reasoning. While large language models (LLMs) like GPT-4 have shown promise in medical education and decision support, their performance in urology remains underexplored. OBJECTIVE: To provide a time-stamped comparison of two representative large language models available at the t...
Fluorescence-guided imaging has increasingly been integrated into robot-assisted urologic surgery to improve intraoperative visualization of vascular ...
BACKGROUND: Delayed union and nonunion remain clinically important complications after tibial and femoral shaft fractures. Although traditional risk f...
BACKGROUND: Urinary tract infection (UTI) is among the most common bacterial infections in children and can lead to both acute and chronic complicatio...
Perfluorooctane sulfonate (PFOS), a persistent member of the per- and polyfluoroalkyl substances family, has been increasingly associated with adverse...
PSMA PET/CT is increasingly used for prostate cancer staging, restaging, treatment selection, and therapy response assessment. In parallel, several in...
Prostate cancer (PCa) is the most frequently diagnosed malignancy among men and presents major clinical and socioeconomic challenges worldwide. Despit...
Acute kidney injury (AKI) is a common and severe complication following renal transplantation, largely driven by ischemia-reperfusion injury (IRI). Ho...
AIM: To evaluate the performance of an ARARAT radiomics-based artificial intelligence model using T2-weighted magnetic resonance imaging (MRI) for pos...
PC1 (polycystin-1), traditionally viewed through the lens of renal pathophysiology in autosomal dominant polycystic kidney disease, has emerged as a c...
BACKGROUND: To determine the levels of attitudes toward artificial intelligence(AI), creative self-efficacy, and problem-solving ability among nursing...
Three-dimensional (3D) rendering of urologic pathology plays an important role in simulation-based education, surgical training, and computer vision r...
UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DXA and comparable ability to predict incident fract...
IMPORTANCE: Glossectomy and reconstruction for tongue tumors carries substantial risk of postoperative morbidity, yet current tools offer limited indi...
Reirradiation (reRT) has become an essential therapeutic option for selected patients with locoregional recurrences, when surgery or systemic therapie...
BACKGROUND: Donor-specific antibodies (DSA) against human leukocyte antigens (HLA) are associated with increased immunologic risk in kidney transplant...
Patients with sepsis-associated acute kidney injury (SA-AKI) requiring continuous renal replacement therapy (CRRT) have a high risk of in-hospital mor...