Urology

Concurrent robot-assisted radical prostatectomy and robot-assisted partial nephrectomy for patients with synchronous prostate cancer and small renal tumor: A case series of five patients.

Robotic surgery has become widely used in the field of urology. We experienced concurrent robot-assi...

Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.

BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system....

Automated quality assessment of large digitised histology cohorts by artificial intelligence.

Research using whole slide images (WSIs) of histopathology slides has increased exponentially over r...

Three-Dimensional Ultrasound Images in the Assessment of Bladder Tumor Health Monitoring under Deep Learning Algorithms.

This study was aimed at exploring the application value of three-dimensional (3D) ultrasound based o...

Unsupervised machine learning for identifying important visual features through bag-of-words using histopathology data from chronic kidney disease.

Pathologists use visual classification to assess patient kidney biopsy samples when diagnosing the u...

Establishment of the operative pathway in single incisional robot-assisted radical prostatectomy without dedicated extraperitoneal access devices.

Roughness of the renal tumor surface could predict the surgical difficulty of robot-assisted partial nephrectomy.

INTRODUCTION: Preoperative prediction of surgical difficulty of partial nephrectomy (PN) is essentia...

Evaluation of Nano-curcumin effects against Tartrazine-induced abnormalities in liver and kidney histology and other biochemical parameters.

In the current study, 40 albino male rats were investigated to evaluate the impact of Nano-curcumin ...

Image quality assessment for machine learning tasks using meta-reinforcement learning.

In this paper, we consider image quality assessment (IQA) as a measure of how images are amenable wi...

Surgical and Functional Outcomes of Bladder Neck Incision for Primary Vesico-Urethral Anastomosis Stricture after Robot-assisted Radical Prostatectomy are Influenced by the Presence of Pre- or Postoperative Radiotherapy.

OBJECTIVE: To report the intermediate- to long-term outcomes of bladder neck incision (BNI) for vesi...

Reply to Francesco Montorsi, Giorgio Gandaglia, Federico Dehò, Elio Mazzone, Armando Stabile, and Alberto Briganti's Letter to the Editor re: Dries Develtere, Giuseppe Rosiello, Pietro Piazza, et al. Early Catheter Removal on Postoperative Day 2 After Robot-assisted Radical Prostatectomy: Updated Real-life Experience with the Aalst Technique. Eur Urol Focus. In press. https://doi.org/10.1016/j.euf.2021.10.003.

Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma.

OBJECTIVES: To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (S...

The role of MRI in prostate cancer: current and future directions.

There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate ...

Robot-assisted laparoscopic abdominoperineal resection with en bloc prostatectomy using the Retzius-sparing robot-assisted radical prostatectomy technique.

INTRODUCTION: The best surgical technique for rectal cancer invading the prostate remains controvers...

Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.

PURPOSE: Computed tomography (CT) images can display internal organs of patients and are particularl...

Overground robotic training effects on walking and secondary health conditions in individuals with spinal cord injury: systematic review.

Overground powered lower limb exoskeletons (EXOs) have proven to be valid devices in gait rehabilita...

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients.

. The aim of this study was to assess the feasibility of the development and training of a deep lear...

Artificial intelligence in glomerular diseases.

In this narrative review, we focus on the application of artificial intelligence in the clinical his...

Multiparametric Functional MRI of the Kidney: Current State and Future Trends with Deep Learning Approaches.

BACKGROUND: Until today, assessment of renal function has remained a challenge for modern medicine. ...

Retroperitoneal robot-assisted single-port laparoscopic treatment of the horseshoe kidney with renal cell carcinoma: Report of two cases.

Investigating the mechanism underlying urinary continence using dynamic MRI after Retzius-sparing robot-assisted radical prostatectomy.

Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) exhibits better postoperative urinary...