Urology

Comparison of postoperative urinary continence and incontinence types between conventional and Retzius-sparing robot-assisted radical prostatectomy.

AIMS: This study aimed to investigate the postoperative urinary continence rate and incontinence typ...

Interstitial Lung Abnormalities at CT in the Korean National Lung Cancer Screening Program: Prevalence and Deep Learning-based Texture Analysis.

Background Interstitial lung abnormalities (ILAs) are associated with worse clinical outcomes, but I...

Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.

Gene mutation detection is usually carried out by molecular biological methods, which is expensive a...

Conceptual framework and documentation standards of cystoscopic media content for artificial intelligence.

BACKGROUND: The clinical documentation of cystoscopy includes visual and textual materials. However,...

Simultaneous Inguinal Hernia Repair with Monofilament Polypropylene Mesh during Robot-Assisted Radical Prostatectomy: Results from a Single Institute Series.

: Inguinal hernia (IH) is a usual finding in men with prostate cancer (PCa) due to their similar ris...

The role of warm ischemia time on functional outcomes after robotic partial nephrectomy: a radionuclide renal scan study from the clock randomized trial.

PURPOSE: To evaluate the relationship between warm ischemia time (WIT) duration and renal function a...

Robot-assisted Laparoscopic Prostatectomy After SpaceOAR Placement.

BACKGROUND: Patients with prostate cancer are offered a wide range of treatments from radiation ther...

Single-Port Robot-Assisted Radical Prostatectomy: Where Do We Stand?

In 2018, the da Vinci Single Port (SP) robotic system was approved by the US Food and Drug Administr...

High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.

Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescen...

Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness.

There is a growing piece of evidence that artificial intelligence may be helpful in the entire prost...

Bubble-Based Microrobots with Rapid Circular Motions for Epithelial Pinning and Drug Delivery.

Remotely powered microrobots are proposed as next-generation vehicles for drug delivery. However, mo...

Quality of life, voiding & sexual dysfunction following robot-assisted vesicovaginal fistula repair: a tertiary care centre experience.

Robot-assisted VVF (RA-VVF) repair has the advantage of small cystotomy, precise dissection and mini...

Outcomes of Robotic Simple Prostatectomy After Prior Failed Endoscopic Treatment of Benign Prostatic Hyperplasia.

We compared outcomes of robot-assisted simple prostatectomy (RASP) in patients with and without a h...

Assessing the Effects of Deep Learning Reconstruction on Abdominal CT Without Arm Elevation.

To evaluate the effects of deep learning reconstruction (DLR) on image quality of abdominal compute...

Robot-assisted Laparoscopic Urethral Diverticulectomy in a Pediatric Patient.

Urethral diverticula are rare in children, especially in the absence of trauma. We present a case of...

Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI.

Background Clinically significant prostate cancer (PCa) diagnosis at MRI requires accurate and effic...

Explainable AI for Prostate MRI: Don't Trust, Verify.

Comparison of Transperitoneal and Retroperitoneal Partial Nephrectomy with Single-Port Robot.

To investigate the efficacy and safety of single-port (SP) robotic transperitoneal (TP) and retrope...

A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy.

. In radiotherapy, the internal movement of organs between treatment sessions causes errors in the f...

A novel multiplex score to predict outcomes of partial nephrectomy for multiple tumors.

BACKGROUND: The RENAL nephrometry score (RNS) is widely used to describe renal mass complexity and i...

A novel dataset and efficient deep learning framework for automated grading of renal cell carcinoma from kidney histopathology images.

Trends of kidney cancer cases worldwide are expected to increase persistently and this inspires the ...