Latest AI and machine learning research in urology for healthcare professionals.
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissue segmentation) require a large amount of annotated data and are mostly trained and applicable on a single stain. Here, a novel concept based on stain augmentation is proposed to develop stain-independent CNNs requiring only one annotated stain. In this benchmark study on stain independence in digit...
PURPOSE: Cystectomy associated with non-continent ileal diversion is a common surgery in patients with neurogenic bladder. Few data are available, especially for the robotic approach. Our purpose was to compare open cystectomy (OC) and robot-assisted radical cystectomy (RARC) with ileal conduit, regarding peri- and post-operative outcomes.
PURPOSE: To evaluate the neurovascular bundle preservation grades during robotic-assisted radical prostatectomy and compared to the trifecta combined ...
BACKGROUND: An accurate preoperative assessment of Non-Muscle-Invasive Bladder Cancer (NMIBC) and Muscle-Invasive Bladder Cancer (MIBC) in Bladder Can...
Background and Objective: Blood loss represents a long-standing concern of radical prostatectomy (RP). This study aimed to assess how red line cell va...
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic ...
OBJECTIVE: To compare the perioperative outcomes of patients with complex renal tumors treated with open versus robot-assisted partial nephrectomy.
Laparoscopic simple prostatectomy (LSP) and robot-assisted simple prostatectomy (RASP) are important approaches for large benign prostatic hyperplasia...
BACKGROUND: Robot-assisted extravesical ureteral reimplantation (REVUR) is a well established approach for surgical treatment of pediatric vesicourete...
Kidney tumor (KT) is one of the diseases that have affected our society and is the seventh most common tumor in both men and women worldwide. The earl...
PURPOSE: The complex and elaborate structure of the urinary system presents surgeons with difficulty in using a ureteroscope with a fixed optical fibe...
To report early institutional experience with the single-port robotic platform and compare perioperative outcomes between single-port robot-assisted ...
Coronary artery stenosis resistance (SR) is a key factor for noninvasive calculations of fractional flow reserve derived from coronary CT angiography ...
We evaluate the diagnostic performance of deep learning artificial intelligence (AI) for bladder cancer, which used white-light images (WLIs) and narr...
PURPOSE: The first aim was to generate and compare synthetic-CT (sCT) images using a conditional generative adversarial network (cGAN) method (Pix2Pix...
The aim of the study is to compare the results of early urinary continence (UC), pathological results, console time (CT), and perioperative morbidity...