Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND: Neurocognitive impairment is commonly reported in patients with chronic kidney disease (...
Machine learning (ML) is the subfield of artificial intelligence (AI), born from the marriage betwee...
IMPORTANCE: A chronic shortage of donor kidneys is compounded by a high discard rate, and this rate ...
Robot-assisted arthroplasty (RAA) is increasingly practised in orthopaedic surgery. The aim of this ...
To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrec...
INTRODUCTION:  There have been numerous reports of robotic pediatric surgery in the literature, part...
The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...
OBJECTIVES: Renal papillary necrosis (RPN) occurring in primary hyperparathyroidism (PHPT) has not b...
OBJECTIVE: To investigate whether robot-assisted partial nephrectomy compared with laparoscopic part...
BACKGROUND: Dyslipidemia is an essential parameter in the prediction of cardiovascular disease (CVD)...
BACKGROUND: Non-muscle-invasive bladder cancer (NMIBC) is characterized by frequent recurrence of th...
BACKGROUND: Use of the single-port da Vinci SP robotic platform for various urological procedures ha...
BACKGROUND: Preservation of erectile function is an important postoperative quality of life concern ...
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and...
OBJECTIVE: We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery ...
BACKGROUND: Bariatric surgery (BS) has been postulated as the most effective measure for weight redu...
INTRODUCTION: Acute kidney injury (AKI) is common and is associated with negative long-term outcomes...
Accurate and efficient dose calculation is an important prerequisite to ensure the success of radiat...