Urology

Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy.

Next generation online and real-time adaptive radiotherapy workflows require precise particle transp...

Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network.

BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation i...

A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images.

This paper proposes an encoder-decoder architecture for kidney segmentation. A hyperparameter optimi...

Retraining an Artificial Intelligence Algorithm to Calculate Left Ventricular Ejection Fraction in Pediatrics.

OBJECTIVES: Identifying patients with low left ventricular ejection fraction (LVEF) and monitoring L...

Comparison of Open and Robot-Assisted Kidney Transplantation in terms of Perioperative and Postoperative Outcomes.

BACKGROUND: The gold standard treatment method for end-stage renal disease (ESRD) is renal transplan...

Short-term oncological and surgical outcomes of robot-assisted radical prostatectomy: A retrospective multicenter cohort study in Japan (the MSUG94 group).

INTRODUCTION: We evaluated oncological outcomes of patients undergoing robot-assisted radical prosta...

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Artificial intelligence (AI) can extract visual information from histopathological slides and yield ...

Molecular Visualization of Early-Stage Acute Kidney Injury with a DNA Framework Nanodevice.

DNA nanomachines with artificial intelligence have attracted great interest, which may open a new er...

Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a re...

Safety enhanced surgical robot for flexible ureteroscopy based on force feedback.

BACKGROUND: Although some robotic systems have been developed to improve conventional flexible urete...

Analysis of Operating Room Efficiency During Robot-Assisted Urologic Surgeries Utilizing Fixed (Nonprocedural) Operative Times.

To analyze operating room (OR) efficiency by evaluating fixed OR times for three common urologic ro...

Artificial intelligence system shows performance at the level of uropathologists for the detection and grading of prostate cancer in core needle biopsy: an independent external validation study.

Accurate diagnosis and grading of needle biopsies are crucial for prostate cancer management. A urop...

Machine Learning-Assisted Preoperative Diagnosis of Infection Stones in Urolithiasis Patients.

The decision-making of how to treat urinary infection stones was complicated by the difficulty in p...

Effect of endoscopic urethral procedures applied after robotic radical prostatectomy on urinary incontinence: A prospective cohort pilot study.

OBJECTIVES: The most common complications after radical prostatectomy (RP) are erectile dysfunction ...

Cone-Beam CT-Guided Transarterial Tagging of Endophytic Renal Tumors with Indocyanine Green for Robot-Assisted Partial Nephrectomy.

PURPOSE: To evaluate the safety, efficacy, and clinical impact of preoperative cone-beam computed to...

Editorial Comment to Impact of nerve sparing in robot-assisted radical prostatectomy on the risk of positive surgical margin and biochemical recurrence.

Robot-Assisted Mini-Endoscopic Combined Intrarenal Surgery for Complex and Multiple Calculi: What Are the Real Advantages?

To determine the stone-free rates (SFR) with robot-assisted mini-endoscopic combined intrarenal sur...

Numerical learning of deep features from drug-exposed cell images to calculate IC50 without staining.

To facilitate rapid determination of cellular viability caused by the inhibitory effect of drugs, nu...

Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent Recalibration.

OBJECTIVES: The aim of this study was to estimate the prospective utility of a previously retrospect...

Artificial intelligence applications for pre-implantation kidney biopsy pathology practice: a systematic review.

BACKGROUND: Transplant nephropathology is a highly specialized field of pathology comprising both th...

Robot-Assisted Radical Prostatectomy for Potential Cancer Control in Patients with Metastatic Prostate Cancer.

Recently, cytoreductive prostatectomy for metastatic prostate cancer (mPCa) has been associated with...