Latest AI and machine learning research in urology for healthcare professionals.
The aim of the study described here was to investigate the value of different machine learning model...
The study's aim was to externally validate a new predictive model for the new baseline glomerular f...
Increasing the information depth of single kidney biopsies can improve diagnostic precision, persona...
The technique of Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and initial experien...
This article presents a new deep cross-output knowledge transfer approach based on least-squares sup...
Smart medical uses the medical information platform and the current technological means to enable th...
The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade...
BACKGROUND: Lateral pelvic lymph node (LPLN) dissection is becoming increasingly important in the tr...
BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Inju...
Robot-assisted laparoscopic prostatectomy requires a pneumoperitoneum combined with steep Trendelenb...
We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM)...
Recently, bioinformatics and computational biology-enabled applications such as gene expression anal...
Ureterosciaic hernia is a rarely described pathology that represents a diagnostic and therapeutic ch...
PURPOSE: To evaluate urinary outcomes of pelvic construction and lateral capsule sparing techniques ...
OBJECTIVE: Differences in outcome after radical prostatectomy for prostate cancer can partly be expl...
BACKGROUND AND OBJECTIVE: Aim of nephrologists is to delay the outcome and reduce the number of pati...
Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnos...
Robot-Assisted Radical Prostatectomy (RARP) is one of the standard treatment options for prostate ca...
Next generation online and real-time adaptive radiotherapy workflows require precise particle transp...
BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation i...
This paper proposes an encoder-decoder architecture for kidney segmentation. A hyperparameter optimi...