Latest AI and machine learning research in urology for healthcare professionals.
OBJECTIVE: To evaluate the progression-free survival (PFS) time in patients with early-stage and loc...
BACKGROUND: Androgen deprivation therapy (ADT) improves outcomes in men undergoing definitive radiot...
INTRODUCTION: Artificial intelligence (such as Chat Generative Pretrained Transformer [ChatGPT]) aug...
BACKGROUND & AIMS: The relationship between biopsy-proven liver fibrosis progression and renal funct...
PURPOSE OF REVIEW: Artificial intelligence (AI) chatbots are increasingly used as a source of inform...
PURPOSE: To develop a fully AI-based dose estimation model capable of learning and estimating single...
One bottleneck of magnetic resonance imaging (MRI)-guided online adaptive radiotherapy is the time-c...
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging beca...
INTRODUCTION: The European Board of Urology (EBU) In-Service Assessment (ISA) test evaluates urologi...
BACKGROUND AND OBJECTIVE: Although deep learning-based intelligent diagnosis of bladder cancer has a...
OBJECTIVE: To investigate the use of deep learning (DL) T2-weighted turbo spin echo (TSE) imaging se...
BACKGROUND: Biochemical recurrence (BCR) occurs in 20%-40% of men with prostate cancer (PCa) who und...
Using follow-up data from the National Health and Nutrition Examination Survey (NHANES) database, we...
High-performance prediction of prostate cancer metastasis based on single nucleotide variations rema...
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human ep...
: Vitamin D deficiency (VDD) is a global health concern associated with metabolic disease and immune...
Cancer is a global health concern because of a significant mortality rate and a wide range of affect...
Prostate cancer is one of the major health challenges in the world and needs novel therapeutic appro...
PURPOSE: Intra- and inter-observer contour uncertainty is a continuous challenge in treatment planni...
OBJECTIVE: To evaluate the effectiveness of RadOnc-generative pretrained transformer (GPT), a GPT-4 ...
PURPOSE: Accurate differentiation of benign renal lesions from renal cell carcinoma (RCC) is crucial...