Urology

Systematic review of academic robotic surgery curricula.

The use of robotic surgery has increased exponentially in the United States. Despite this uptick in ...

Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.

PURPOSE: This study aimed to develop deep learning (DL) models based on multicentre biparametric mag...

Is Robotic Superior to Laparoscopic Approach for Radical Nephroureterectomy with Bladder Cuff Excision in Treating Upper Urinary Tract Urothelial Carcinoma?

Laparoscopic nephroureterectomy (LNU) has become popular in treating upper urinary tract urothelial...

Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation.

Effective learning and modelling of spatial and semantic relations between image regions in various ...

Robust deep learning-based forward dose calculations for VMAT on the 1.5T MR-linac.

In this work we present a framework for robust deep learning-based VMAT forward dose calculations fo...

Robotic Surgery for Stone Disease.

PURPOSE OF REVIEW: To evaluate recent literature regarding the role of robotic technology in the tre...

Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data.

Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kid...

Long-term oncologic outcomes of robot-assisted radical cystectomy: update series from a high-volume robotic center beyond 10 years of follow-up.

Long-term oncologic data on patients undergoing robot-assisted radical cystectomy (RARC) for non-met...

The added value of a deep learning-based computer-aided detection system on prostate cancer detection among readers with varying level of multiparametric MRI expertise.

Predicting cognitive impairment in chronic kidney disease patients using structural and functional brain network: An application study of artificial intelligence.

OBJECTIVE: To develop and validate artificial intelligence models for the prediction of cognitive im...

Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA dens...

Effect of positive end-expiratory pressure on pulmonary compliance and pulmonary complications in patients undergoing robot-assisted laparoscopic radical prostatectomy: a randomized control trial.

BACKGROUND: To observe the effects of different positive end-expiratory pressure (PEEP) ventilation ...

Open retropubic radical prostatectomy: Still a well-established surgical technique for prostate cancer management.

INTRODUCTION: The surgical treatment options for prostate cancer have changed rapidly, given the exp...

Deep learning-based predictions of clear and eosinophilic phenotypes in clear cell renal cell carcinoma.

We have recently shown that histological phenotypes focusing on clear and eosinophilic cytoplasm in ...

Deep Learning-based calculation of patient size and attenuation surrogates from localizer Image: Toward personalized chest CT protocol optimization.

PURPOSE: Extracting water equivalent diameter (DW), as a good descriptor of patient size, from the C...

Systems Drug Design for Muscle Invasive Bladder Cancer and Advanced Bladder Cancer by Genome-Wide Microarray Data and Deep Learning Method with Drug Design Specifications.

Bladder cancer is the 10th most common cancer worldwide. Due to the lack of understanding of the onc...

Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.

The performance of deep networks for medical image analysis is often constrained by limited medical ...

Novel artificial intelligent transformer U-NET for better identification and management of prostate cancer.

Advancements in artificial intelligence (AI) strengthens life-altering technology that can not only ...

Artificial Intelligence You Can Trust: What Matters Beyond Performance When Applying Artificial Intelligence to Renal Histopathology?

Although still in its infancy, artificial intelligence (AI) analysis of kidney biopsy images is anti...

Machine learning for morbid glomerular hypertrophy.

A practical research method integrating data-driven machine learning with conventional model-driven ...

NAVIGATOR: an Italian regional imaging biobank to promote precision medicine for oncologic patients.

NAVIGATOR is an Italian regional project boosting precision medicine in oncology with the aim of mak...