Urology

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 kidney disease outcomes is crucial for disease management. In recent years, various prediction models using Machine Learning (ML) algorithms have been established in nephrology. However, their accuracy have been inconsistent. Therefore, we conducted a systematic review and meta-analysis to investigat...

The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms.

OBJECTIVE: To determine the rigor, generalizability, and reproducibility of published classification and detection artificial intelligence (AI) models for prostate cancer (PCa) on MRI using the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) guidelines, a 42-item checklist that is considered a measure of best practice for presenting and reviewing medical imaging AI research.

Tasks for artificial intelligence in prostate MRI.

The advent of precision medicine, increasing clinical needs, and imaging availability among many other factors in the prostate cancer diagnostic pathw...

Surgical and functional outcomes of robot-assisted versus laparoscopic partial nephrectomy with cortical renorrhaphy omission.

To evaluate the surgical and functional outcomes between robot-assisted (CRO-RAPN) vs. laparoscopic (CRO-LPN) methods of cortical-renorrhaphy-omitting...

A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.

OBJECTIVES: To evaluate the effect of a deep learning-based computer-aided diagnosis (DL-CAD) system on experienced and less-experienced radiologists ...

Best of Both Worlds: Detecting Application Layer Attacks through 802.11 and Non-802.11 Features.

Intrusion detection in wireless and, more specifically, Wi-Fi networks is lately increasingly under the spotlight of the research community. However, ...

Fast VMAT planning for prostate radiotherapy: dosimetric validation of a deep learning-based initial segment generation method.

. To develop and evaluate a deep learning based fast volumetric modulated arc therapy (VMAT) plan generation method for prostate radiotherapy.. A cust...

Automated Prediction of Kidney Failure in IgA Nephropathy with Deep Learning from Biopsy Images.

BACKGROUND AND OBJECTIVES: Digital pathology and artificial intelligence offer new opportunities for automatic histologic scoring. We applied a deep l...

Surgical and functional outcomes of robot-assisted laparoscopic partial nephrectomy for renal cell carcinoma in adolescents and young adults: a propensity score matching study.

BACKGROUND: Cancer development in adolescents and young adults (AYAs) has elicited recent interest. We investigated the surgical and functional outcom...

The Impact of Gleason Grade 3 as a Predictive Factor for Biochemical Recurrence after Robot-Assisted Radical Prostatectomy: A Retrospective Multicenter Cohort Study in Japan (The MSUG94 Group).

: This study's objective was to examine patients treated with robot-assisted radical prostatectomy (RARP) for intermediate-risk prostate cancer (IR-PC...

Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves.

BACKGROUND: We sought to use deep learning to extract anatomic features from postnatal kidney ultrasounds and evaluate their performance in predicting...

Prostate-specific membrane antigen Radioguided Surgery to Detect Nodal Metastases in Primary Prostate Cancer Patients Undergoing Robot-assisted Radical Prostatectomy and Extended Pelvic Lymph Node Dissection: Results of a Planned Interim Analysis of a Prospective Phase 2 Study.

BACKGROUND: Extended pelvic nodal dissection (ePLND) represents the gold standard for nodal staging in prostate cancer (PCa). Prostate-specific membra...

Machine Learning to Delineate Surgeon and Clinical Factors That Anticipate Positive Surgical Margins After Robot-Assisted Radical Prostatectomy.

Automated performance metrics (APMs), derived from instrument kinematic and systems events data during robotic surgery, are validated objective measu...

A Novel Expert Coaching Model in Urology, Aimed at Accelerating the Learning Curve in Robotic Prostatectomy.

INTRODUCTION/BACKGROUND: The surgical residency model assumes that upon completion, a surgeon is ready to practice and grow independently. However, ma...

Incidence and predictive factors of orgasmic dysfunction after robot-assisted radical prostatectomy: A cross-sectional, questionnaire-based study.

OBJECTIVE: We sought to evaluate the incidence and extent of orgasmic dysfunction in patients after robot-assisted radical prostatectomy and to identi...

A Machine Learning Model for Predicting Mortality within 90 Days of Dialysis Initiation.

BACKGROUND: The first 90 days after dialysis initiation are associated with high morbidity and mortality in end-stage kidney disease (ESKD) patients. ...

Simultaneous robot-assisted abdominoperineal rectal resection and Retzius-sparing prostatectomy for synchronous rectal and prostate cancer - a video vignette.

Clinical and oncological outcomes of open partial nephrectomy versus robot assisted partial nephrectomy over 15 years.

Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The objective of our study was to compare clinical and p...

A Historical Perspective of the Evolution of Laparoscopic Surgeries in Urology.

Recent decades have seen the rapid progression of minimally invasive surgery in urology with continuing developments in robotic technology paving ways...

Identification and Classification of Prostate Cancer Identification and Classification Based on Improved Convolution Neural Network.

Prostate cancer is one of the most common cancers in men worldwide, second only to lung cancer. The most common method used in diagnosing prostate can...