Urology

Latest AI and machine learning research in urology for healthcare professionals.

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ScoMorphoFISH: A deep learning enabled toolbox for single-cell single-mRNA quantification and correlative (ultra-)morphometry.

Increasing the information depth of single kidney biopsies can improve diagnostic precision, persona...

Retzius-Sparing Robot-Assisted Radical Prostatectomy.

The technique of Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and initial experien...

Deep Cross-Output Knowledge Transfer Using Stacked-Structure Least-Squares Support Vector Machines.

This article presents a new deep cross-output knowledge transfer approach based on least-squares sup...

Robot-Assisted Radical Prostatectomy Using the KangDuo Surgical Robot-01 System: A Prospective, Single-Center, Single-Arm Clinical Study.

PURPOSE: Our goal was to evaluate the feasibility, safety and effectiveness of the KangDuo Surgical ...

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.

Smart medical uses the medical information platform and the current technological means to enable th...

Defining the Morbidity of Robot-Assisted Radical Cystectomy with Intracorporeal Urinary Diversion: Adoption of the Comprehensive Complication Index.

The Clavien-Dindo Classification (CDC) only reports the postoperative complication of highest grade...

Designing transformer oil immersion cooling servers for machine learning and first principle calculations.

A transfomer oil immersion cooling server is designed and constructed for machine learning applicati...

Predicting acute kidney injury following open partial nephrectomy treatment using SAT-pruned explainable machine learning model.

BACKGROUND: One of the most prevalent complications of Partial Nephrectomy (PN) is Acute Kidney Inju...

Effects of sevoflurane versus propofol on cerebral autoregulation during anaesthesia for robot-assisted laparoscopic prostatectomy.

Robot-assisted laparoscopic prostatectomy requires a pneumoperitoneum combined with steep Trendelenb...

Fast Analysis of Time-Domain Fluorescence Lifetime Imaging via Extreme Learning Machine.

We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM)...

Feature Subset Selection with Optimal Adaptive Neuro-Fuzzy Systems for Bioinformatics Gene Expression Classification.

Recently, bioinformatics and computational biology-enabled applications such as gene expression anal...

[Successful laparoscopic robot-assisted surgical treatment of bilateral ureterosciatic hernias (Lindbom's hernia) and pelvic kidney].

Ureterosciaic hernia is a rarely described pathology that represents a diagnostic and therapeutic ch...

External validation of a deep-learning model to predict severe acute kidney injury based on urine output changes in critically ill patients.

OBJECTIVES: The purpose of this study was to externally validate algorithms (previously developed an...

Learning curve for robot-assisted laparoscopic radical prostatectomy in a large prospective multicentre study.

OBJECTIVE: Differences in outcome after radical prostatectomy for prostate cancer can partly be expl...

Prediction of chronic kidney disease and its progression by artificial intelligence algorithms.

BACKGROUND AND OBJECTIVE: Aim of nephrologists is to delay the outcome and reduce the number of pati...

A deep learning-based precision volume calculation approach for kidney and tumor segmentation on computed tomography images.

Previously, doctors interpreted computed tomography (CT) images based on their experience in diagnos...

Cost-utility analysis on robot-assisted and laparoscopic prostatectomy based on long-term functional outcomes.

Robot-Assisted Radical Prostatectomy (RARP) is one of the standard treatment options for prostate ca...

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