Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUD: No universally accepted model exists for predicting bleeding risk in patients receiving ...
Pediatric acute kidney injury (AKI) often presents insidiously and progresses rapidly. Traditional d...
PURPOSE: To increase performance and generalization ability of artificial intelligence prostate canc...
INTRODUCTION: Renal cell carcinoma (RCC) most commonly metastasizes to the lungs and shares risk fac...
BACKGROUND: Financial toxicity (FT), the economic stress from medical care, is common among people w...
RATIONALE AND OBJECTIVES: This study aimed to develop an interpretable machine learning (ML) model u...
When renal function is lost following resection of renal tumors, in the setting of end-stage kidney ...
BACKGROUND: Artificial intelligence has significantly advanced computational pathology by enabling h...
In this study, we systematically investigated bladder cancer-related gene signatures using a toxicog...
OBJECTIVE: To date, the integration of artificial intelligence (AI) in healthcare has expanded rapid...
OBJECTIVE: A total of 28% of global cardiac surgeries are performed in Latin America; however, surge...
PURPOSE: Quantifying collagen in histological slides is essential for diagnosing and monitoring fibr...
BACKGROUND: Large language models (LLMs) are increasingly used to generate patient-oriented medical ...
Accurate classification of renal masses before treatment is crucial for therapeutic decision-making ...
BACKGROUND: Machine Learning (ML) models have achieved outstanding performance in predicting post-su...
Traditional cell counting in clinical and research settings often relies on hemocytometry, a manual ...
OBJECTIVE: The purpose of this study is to identify hub genes associated with both osteoporosis (OP)...
This study investigates the identification of Benign Prostatic Hyperplasia (BPH) through a deep lear...
PURPOSE OF REVIEW: Clinical documentation continues to expand in volume and complexity, spanning out...
OBJECTIVE: Diabetic kidney disease (DKD) is a leading microvascular complication of diabetes in whic...
This study examines the influence of divisor selection on the efficacy of advanced analytical spectr...