Urology

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

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Development of a machine learning model for precision prognosis of rapid kidney function decline in people with diabetes and chronic kidney disease.

AIMS: To develop a machine learning model for predicting rapid kidney function decline in people wit...

A Novel Deep Learning Approach for Analyzing Glomerular Basement Membrane Lesions in a Mouse Model of X-Linked Alport Syndrome.

Alport syndrome is a rare kidney disease typically more severe in males due to its X-linked inherita...

Achieving accurate prostate auto-segmentation on CT in the absence of MR imaging.

BACKGROUND: Magnetic resonance imaging (MRI) is considered the gold standard for prostate segmentati...

Assessment of a fully-automated diagnostic AI software in prostate MRI: Clinical evaluation and histopathological correlation.

OBJECTIVE: This study aims to evaluate the diagnostic performance of a commercial, fully-automated, ...

Early cancer detection using deep learning and medical imaging: A survey.

Cancer, characterized by the uncontrolled division of abnormal cells that harm body tissues, necessi...

Machine learning and explainable artificial intelligence to predict pathologic stage in men with localized prostate cancer.

BACKGROUND: Though several nomograms exist, machine learning (ML) approaches might improve predictio...

A novel approach to the cause of death identification-multi-strategy integration of multi-organ FTIR spectroscopy information using machine learning.

Identifying the cause of death has always been a major focus and challenge in forensic practice and ...

Triple and quadruple optimization for feature selection in cancer biomarker discovery.

The proliferation of omics data has advanced cancer biomarker discovery but often falls short in ext...

Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity...

Self-Supervised Learning for Feature Extraction from Glomerular Images and Disease Classification with Minimal Annotations.

BACKGROUND: Deep learning has great potential in digital kidney pathology. However, its effectivenes...

Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.

Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in ...

Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.

BACKGROUND: Hyperkalemia, characterized by elevated serum potassium levels, heightens the risk of su...

Evaluation of the accuracy of automated segmentation based on deep learning for prostate cancer patients.

PURPOSE: This study evaluated the accuracy of a commercial deep learning (DL)-based algorithm for se...

Development and validation of the PHM-CPA model to predict in-hospital mortality for cirrhotic patients with acute kidney injury.

BACKGROUND: The presence of acute kidney injury (AKI) significantly increases in-hospital mortality ...

AI-PEDURO - Artificial intelligence in pediatric urology: Protocol for a living scoping review and online repository.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) methods are increasingly being ap...

MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI.

Magnetic resonance imaging (MRI) plays a pivotal role in diagnosing and staging prostate cancer. Pre...

Stereotactic ablative radiotherapy (SABR) for pelvic nodal oligorecurrence in prostate cancer.

BACKGROUND: This study evaluated the clinical outcomes of stereotactic ablative radiotherapy (SABR) ...

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