Urology

Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction.

Unreliable predictions can occur when an artificial intelligence (AI) system is presented with data ...

Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase.

Large slice thickness or slice increment causes information insufficiency of Computed Tomography (CT...

A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging.

Genitourinary (GU) system is among the most commonly involved malignancy sites in the human body. Im...

Deep Learning for Image Analysis in Kidney Care.

Analysis of medical images, such as radiological or tissue specimens, is an indispensable part of me...

Editorial Comment to Predictive factors of de novo overactive bladder in clinically localized prostate cancer patients after robot-assisted radical prostatectomy.

Artificial Intelligence in Pediatric Nephrology-A Call for Action.

Artificial intelligence is playing an increasingly important role in many fields of clinical care to...

Predictive factors of de novo overactive bladder in clinically localized prostate cancer patients after robot-assisted radical prostatectomy.

OBJECTIVES: To assess the postoperative status of clinically localized prostate cancer patients who ...

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 diagn...

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...

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 b...

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...

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 th...

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...

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...

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 i...

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 in...

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 scre...

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 u...

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 biochemica...

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 ver...

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...