Latest AI and machine learning research in urology for healthcare professionals.
BACKGROUND AND OBJECTIVE: Data regarding the epidemiology and outcomes of acute kidney injury (AKI) from our part of the world are limited. The irking consequences of AKI, both on the patient and the health care system, are being increasingly recognized. We aimed to study the epidemiology and short-term outcomes of AKI and to analyze the factors associated with adverse renal outcomes.
Chronic kidney disease (CKD) is a global health issue with a high rate of morbidity and mortality and a high rate of disease progression. Because there are no visible symptoms in the early stages of CKD, patients frequently go unnoticed. The early detection of CKD allows patients to receive timely treatment, slowing the disease's progression. Due to its rapid recognition performance and accuracy, ...
Uretero-enteric anastomotic strictures (UES) after robot-assisted radical cystectomy (RARC) represent the main cause of post-operative renal dysfuncti...
To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguinal herniotomy, and abdominal operations on several ...
AIM: The objective of the present study was to compare the outcomes of open versus laparoscopic versus robotic cystectomy and ileal conduit for neurog...
BACKGROUND: Antibody response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) after mRNA or adenoviral vector-based vaccines is w...
Recently, Internet of Things (IoT) and cloud computing environments become commonly employed in several healthcare applications by the integration of ...
OBJECTIVE: The diagnosis of bladder dysfunction for children depends on the confirmation of abnormal bladder shape and bladder compliance. The existin...
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a ...
To develop a structured and objective scoring tool for assessment of robot-assisted partial nephrectomy (RAPN): Scoring for Partial Nephrectomy (SPaN...
BACKGROUND: Race coefficients of estimated glomerular filtration rate (eGFR) formulas may be partially responsible for racial inequality in preemptive...
The surgical treatment of horseshoe kidney (HSK) remains a huge challenge because of the complex anatomy and abnormal blood vessel distribution. Ther...
Conventional deep learning (DL) algorithm requires full supervision of annotating the region of interest (ROI) that is laborious and often biased. We ...
OBJECTIVE: To appraise the outcomes on the Retzius-sparing robot-assisted radical prostatectomy (Rs-RARP) learning curve of a surgeon with previous ex...
OBJECTIVES: Artificial intelligence (AI) is increasingly used in medicine, but data on benign prostatic enlargement (BPE) management are lacking. This...
Pelvic organ prolapse is a worldwide health problem to elderly women. Understanding its pathogenesis and an ideal animal model are crucial to developi...
Applications of deep learning and other artificial intelligence techniques play an increasing role in pathological research. In contrast to research, ...
Cerenkov luminescence imaging (CLI) was successfully implemented in the intraoperative context as a form of radioguided cancer surgery, showing promis...