Urology

Does type of robotic platform make a difference in the final cost of robotic-assisted radical prostatectomy?

This study evaluates the difference of robot-assisted radical prostatectomy (RARP) costs in patients with similar preoperative characteristics operated on using the da Vinci SP and Xi robotic platforms. We performed a retrospective analysis on 71 consecutive patients with prostate cancer who underwent RARP with the SP robot between June 2019 and April 2020. Propensity score (PS) matching was perfo...

Explainable artificial intelligence (XAI): closing the gap between image analysis and navigation in complex invasive diagnostic procedures.

LITERATURE REVIEW: Cystoscopy is the gold standard for initial macroscopic assessments of the human urinary bladder to rule out (or diagnose) bladder cancer (BCa). Despite having guidelines, cystoscopic findings are diverse and often challenging to classify. The extent of the false negatives and false positives in cystoscopic diagnosis is currently unknown. We suspect that there is a certain degre...

Upper or lower tract approach for duplex anomalies? A bi-institutional comparative analysis of robot-assisted approaches.

Optimal management of duplication anomalies may include an upper or lower tract surgical approach. In the contemporary era, the robot-assisted laparos...

Extent of pelvic lymph node dissection improves early oncological outcomes for patients with high-risk prostate cancer without lymph node involvement after robot-assisted radical prostatectomy.

BACKGROUND: We investigated the effect of the extent of pelvic lymph node dissection (LND) on biochemical recurrence (BCR) in patients with prostate c...

Drains are not necessary in the majority of robot-assisted urological procedures.

Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.

OBJECTIVE: To distinguish benign from malignant cystic renal lesions (CRL) using a contrast-enhanced CT-based radiomics model and a clinical decision ...

Weakly supervised segmentation with cross-modality equivariant constraints.

Weakly supervised learning has emerged as an appealing alternative to alleviate the need for large labeled datasets in semantic segmentation. Most cur...

Efficacy and feasibility of robot-assisted partial nephrectomy for octogenarians: comparison with younger counterparts.

To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) in patients ≥ 80 years old and their younger count...

Indocyanine Green Drives Computer Vision Based 3D Augmented Reality Robot Assisted Partial Nephrectomy: The Beginning of "Automatic" Overlapping Era.

Augmented reality robot-assisted partial nephrectomy (AR-RAPN) is limited by the need of a constant manual overlapping of the hyper-accuracy 3D (HA3D)...

Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction.

Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most expensive malignancy to treat over the patients' lifetime. In rec...

PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer.

BACKGROUND AND OBJECTIVE: Prostate cancer (PCa) is a severe public health issue and the most common cancer worldwide in men. Early diagnosis can lead ...

Identification of glomerulosclerosis using IBM Watson and shallow neural networks.

BACKGROUND: Advanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on ...

Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm.

BACKGROUND: Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemothe...

First completely robot-assisted retroperitoneal nephroureterectomy with bladder cuff: a step-by-step technique.

INTRODUCTION: While various surgical techniques have been reported for open and minimally invasive treatment of upper tract urothelial cancer (UTUC), ...

Understanding machine learning classifier decisions in automated radiotherapy quality assurance.

The complexity of generating radiotherapy treatments demands a rigorous quality assurance (QA) process to ensure patient safety and to avoid clinicall...

A data-driven ultrasound approach discriminates pathological high grade prostate cancer.

Accurate prostate cancer screening is imperative for reducing the risk of cancer death. Ultrasound imaging, although easy, tends to have low resolutio...

Digital Subtraction Angiography Image Features under the Deep Learning Algorithm in Cardiovascular Interventional Treatment and Nursing for Vascular Restenosis.

The objective of this study was to explore the application value of digital subtraction angiography (DSA) images optimized by deep learning algorithms...

Prediction of post-stroke urinary tract infection risk in immobile patients using machine learning: an observational cohort study.

BACKGROUND: Urinary tract infection (UTI) is one of major nosocomial infections significantly affecting the outcomes of immobile stroke patients. Prev...

Application of deterministic networking for reducing network delay in urological telesurgery: A retrospective study.

BACKGROUND: Deterministic Networking (DetNet) is a new technology that can effectively control network delay and may promote the revolution of telemed...

Ranking patients on the kidney transplant waiting list based on fuzzy inference system.

BACKGROUND: Kidney transplantation is the best treatment for people with End-Stage Renal Disease (ESRD). Kidney allocation is the most important chall...