Urology

Latest AI and machine learning research in urology for healthcare professionals.

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Evaluating Surgical Outcomes of Robot Assisted Simple Prostatectomy in the Retreatment Setting.

OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP...

Feasibility of Laser Lithotripsy for Midsize Stones Using Robotic Retrograde Intrarenal Surgery System easyUretero in a Porcine Model.

To test the safety and feasibility of laser lithotripsy for midsize renal stones using a newly deve...

Deep learning can predict survival directly from histology in clear cell renal cell carcinoma.

For clear cell renal cell carcinoma (ccRCC) risk-dependent diagnostic and therapeutic algorithms are...

Clinical and bacteriological outcomes in patients with urinary tract infections presenting to primary care in Harare, Zimbabwe: a cohort study.

: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...

Variations in Opioid Use Following Robotic Radical Prostatectomy in South Florida.

Opioid dependency has been a persistent issue in the United States over the past two decades. Incre...

Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos.

To assess the performance and added value of processing complete digital endoscopic video sequences ...

Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.

This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by resi...

Characterization of the SGLT2 Interaction Network and Its Regulation by SGLT2 Inhibitors: A Bioinformatic Analysis.

Sodium-glucose cotransporter 2 (SGLT2), also known as solute carrier family 5 member 2 (SLC5A2), is...

One-step Endovascular Aortic Aneurysm Repair With CO2 contrast and Robotic Partial Nephrectomy for Renal Cell Carcinoma: Case Report.

INTRODUCTION: Although rare, as the population ages, abdominal aortic aneurysm synchronous to abdomi...

Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer.

Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer wit...

Machine learning for risk stratification in kidney disease.

PURPOSE OF REVIEW: Risk stratification for chronic kidney is becoming increasingly important as a cl...

Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks.

Stone artifacts are often the most abundant class of objects found in archaeological sites but their...

Robot-assisted laparoscopic versus open partial nephrectomy for renal cell carcinoma in patients with severe chronic kidney disease.

OBJECTIVES: To compare surgical and functional outcomes between robot-assisted laparoscopic partial ...

A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications.

In preclinical radiotherapy with kilovolt (kV) x-ray beams, accurate treatment planning is needed to...

Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer.

We aim to review the available literature on patients with esophageal cancer treated with robot-assi...

Head-to-head comparison of biparametric versus multiparametric MRI of the prostate before robot-assisted transperineal fusion prostate biopsy.

PURPOSE: Prostate biparametric magnetic resonance imaging (bpMRI) including T2-weighted imaging (T2W...

Machine learning algorithms' accuracy in predicting kidney disease progression: a systematic review and meta-analysis.

BACKGROUND: Kidney disease progression rates vary among patients. Rapid and accurate prediction of k...

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