Urology

Machine Learning for Renal Pathologies: An Updated Survey.

Within the literature concerning modern machine learning techniques applied to the medical field, th...

Application of deep neural network and gamma-ray scattering in eccentric scale calculation regardless of the fluids volume fraction inside a pipeline.

Scale formation is one of the major problems in the oil industry as it can accumulate on the surface...

Comparison of skeletal segmentation by deep learning-based and atlas-based segmentation in prostate cancer patients.

OBJECTIVE: We aimed to compare the deep learning-based (VSBONE BSI) and atlas-based (BONENAVI) segme...

Challenging cases in high-risk prostate cancer patients treated with Retzius-sparing robot-assisted radical prostatectomy.

OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior ...

A Deep Learning Approach for Automated Segmentation of Kidneys and Exophytic Cysts in Individuals with Autosomal Dominant Polycystic Kidney Disease.

BACKGROUND: Total kidney volume (TKV) is an important imaging biomarker in autosomal dominant polycy...

Robot-Assisted Radical Prostatectomy After Prior Transurethral Resection of Prostate: An Analysis of Perioperative, Functional, Pathologic, and Oncologic Outcomes.

We performed a retrospective comparison of surgical, oncologic, and functional outcomes after robot...

The new surgical robotic platform HUGO RAS: System description and docking settings for robot-assisted radical prostatectomy.

BACKGROUND: To date, robotic surgery in urology is well established all over the world. The newest p...

Robot-assisted anterior resection for rectal cancer with double inferior vena cava: A case report.

Double inferior vena cava (DIVC) is a rare but generally asymptomatic condition that is often detect...

Robot-assisted versus conventional laparoscopic partial nephrectomy for renal hilar tumors: Parenchymal preservation and functional recovery.

OBJECTIVE: To determine whether robot-assisted laparoscopic partial nephrectomy (RALPN) can benefit ...

Factor analysis of error in oxidation potential calculation: A machine learning study.

The conductor-like polarizable continuum model (C-PCM), which is a low-cost solvation model, cannot ...

Feasibility of accelerated whole-body diffusion-weighted imaging using a deep learning-based noise-reduction technique in patients with prostate cancer.

PURPOSE: To assess the possibility of reducing the image acquisition time for diffusion-weighted who...

Robotic-Assisted Lower Genitourinary Tract Reconstruction.

With the widespread dissemination of robotic surgical platforms, pathologies that were previously de...

Streamlining surgical trays for common pediatric urology Procedures: A quality improvement initiative.

INTRODUCTION: Procedures involving the external genitalia are the most common pediatric urologic ope...

Improving Robotic Skills by Video Review.

Since the transition of surgical robot systems into the medical field, physicians have had to devel...

Transition from da Vinci to Versius robotic surgical system: initial experience and outcomes of over 100 consecutive procedures.

We sought to describe the development of the robotic urology program at Sindh Institute of Urology a...

Robot-assisted radical prostatectomy feasibility and setting with the Hugo™ robot-assisted surgery system.

A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...

Artificial Neural Network Model for Indoor Decoration Intelligence Calculation and Automation Design.

With the continuous development of science and technology, the indoor decoration industry has gradua...

The "Natural History" of Evidence on Radical Prostatectomy: What Have 20 Years of Robots Given Us?

Diverse pressures and influences have determined these two decades of radical prostatectomy history....

Machine Learning Models Predict Calculation Outcomes with the Transferability Necessary for Computational Catalysis.

Virtual high-throughput screening (VHTS) and machine learning (ML) have greatly accelerated the desi...

The application of internal traction technique in retroperitoneal robot-assisted partial nephrectomy for renal ventral tumors.

BACKGROUND: For patients with prior intra-abdominal surgery or multiple arteries, the retroperitonea...