Urology

Artificial Intelligence in Pediatric Nephrology-A Call for Action.

Artificial intelligence is playing an increasingly important role in many fields of clinical care to assist health care providers in patient management. In adult-focused nephrology, artificial intelligence is beginning to be used to improve clinical care, hemodialysis prescriptions, and follow-up of transplant recipients. This article provides an overview of medical artificial intelligence applica...

Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts? - A systematic review.

PURPOSE: The purpose of this study was to perform a systematic review of the literature on the diagnostic performance, in independent test cohorts, of artificial intelligence (AI)-based algorithms aimed at characterizing/detecting prostate cancer on magnetic resonance imaging (MRI).

Detection of 1-OHPyr in human urine using SERS with injection under wet liquid-liquid self-assembled films of β-CD-coated gold nanoparticles and deep learning.

1-Hydroxypyrene (1-OHPyr), a typical hydroxylated polycyclic aromatic hydrocarbon (OH-PAH), has been commonly regarded as a urinary biomarker for asse...

Robot-assisted partial nephrectomy: Can retroperitoneal approach suit for renal tumors of all locations?-A large retrospective cohort study.

BACKGROUND: This study aimed to explore the appropriate location of renal tumors for retroperitoneal approach.

The Efficacy of Urinary Continence in Patients Undergoing Robot-Assisted Radical Prostatectomy with Bladder-Prostatic Muscle Reconstruction and Bladder Neck Eversion Anastomosis.

Background and Objectives: To evaluate the efficacy of bladder-prostatic muscle reconstruction and bladder neck eversion anastomosis in the recovery o...

Detecting Hydronephrosis Through Ultrasound Images Using State-of-the-Art Deep Learning Models.

The goal of this study was to assess the feasibility of three models for detecting hydronephrosis through ultrasound images using state-of-the-art dee...

Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury.

Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic procedures, and has a significant impact on morbi...

A Unified Multi-Phase CT Synthesis and Classification Framework for Kidney Cancer Diagnosis With Incomplete Data.

Multi-phase computed tomography (CT) is widely adopted for the diagnosis of kidney cancer due to the complementary information among phases. However, ...

Plasma cell subtypes analyzed using artificial intelligence algorithm for predicting biochemical recurrence, immune escape potential, and immunotherapy response of prostate cancer.

BACKGROUND: Plasma cells as an important component of immune microenvironment plays a crucial role in immune escape and are closely related to immune ...

Correlation between extended pelvic lymph node dissection and urinary incontinence at early phase after robot-assisted radical prostatectomy.

OBJECTIVES: To investigate the impact of extended pelvic lymph node dissection (ePLND) on urinary incontinence (UI) at early post-surgery robot-assist...

Deep learning classification of urinary sediment crystals with optimal parameter tuning.

The examination of urinary sediment crystals, the sedimentary components of urine, is useful in screening tests, and is always performed in medical ex...

Robot-Assisted Laparoscopic Ureteral Reconstruction for Malignant Pathology: Single-Center Experience with Analysis of Perioperative, Functional, and Oncologic Outcomes.

Radical nephroureterectomy with bladder cuff excision (BCE) is the standard of care all high-risk upper tract urothelial carcinomas. With continued a...

PI-RADS v2 Findings of MRI and Positive Biopsy Core Percentage would Predict Pathological Extraprostatic Extension in Patients who Underwent Robot Assisted Radical Prostatectomy: A Retrospective Study.

PURPOSE: This study aimed to examine whether preoperative Prostate Imaging Reporting and Data System v2 (PI-RADS v2) can predict pathological extracap...

Machine learning-based predictions of gamma passing rates for virtual specific-plan verification based on modulation maps, monitor unit profiles, and composite dose images.

Machine learning (ML) methods have been implemented in radiotherapy to aid virtual specific-plan verification protocols, predicting gamma passing rate...

Development of a Prediction Model for Positive Surgical Margin in Robot-Assisted Laparoscopic Radical Prostatectomy.

A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemical recurrence and tumor metastasis in prostate canc...

Minimally Invasive Lower Anterior Resections - Better than Open But Not All the Same.

Optimal approach for lower anterior resection has been closely debated. The relatively new addition of the robotic approach adds a layer of complexit...

Risk Classification and Subphenotyping of Acute Kidney Injury: Concepts and Methodologies.

Acute kidney injury (AKI) is a complex syndrome with a paucity of therapeutic development. One aspect that could explain the lack of implementation sc...

Impact of Warm Ischemia on Acute Kidney Injury After Robotic Partial Nephrectomy Stratified by Baseline Kidney Function.

To evaluate the differences in baseline chronic kidney disease (CKD) status in correlations between warm ischemic time (WIT) and acute kidney injury ...

Robot-Assisted Radical Nephrectomy Using the Novel Avatera Robotic Surgical System: A Feasibility Study in a Porcine Model.

To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgical system Avatera by performing bilateral nephrec...

Retzius-sparing vs. standard robot-assisted radical prostatectomy for clinically localised prostate cancer: a comparative study.

BACKGROUND: Retzius-sparing robot-assisted radical prostatectomy (RARP) is not yet universally accepted due to still limited functional data and some ...