Urology

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

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Comparative analysis of kidney function prediction: traditional statistical methods vs. deep learning techniques.

BACKGROUND: Chronic kidney disease (CKD) represents a significant public health challenge, with rate...

"Three-in-one" Analysis of Proteinuria for Disease Diagnosis through Multifunctional Nanoparticles and Machine Learning.

Urinalysis is one of the predominant tools for clinical testing owing to the abundant composition, s...

Exploring the subtle and novel renal pathological changes in diabetic nephropathy using clustering analysis with deep learning.

To decrease the number of chronic kidney disease (CKD), early diagnosis of diabetic kidney disease i...

Difference between estimated glomerular filtration rate based on cystatin C versus creatinine and cardiovascular-kidney-metabolic health.

BACKGROUND: The difference between the estimated glomerular filtration rate (eGFR) calculated from c...

A novel deep learning-based pipeline architecture for pulp stone detection on panoramic radiographs.

OBJECTIVES: Pulp stones are ectopic calcifications located in pulp tissue. The aim of this study is ...

Deep Learning for Predicting Difficulty in Radical Prostatectomy: A Novel Evaluation Scheme.

OBJECTIVE: To explore new metrics for assessing radical prostatectomy difficulty through a two-stage...

Clinical Application of Deep Learning-Assisted Needles Reconstruction in Prostate Ultrasound Brachytherapy.

PURPOSE: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle ins...

Glo-net: A dual task branch based neural network for multi-class glomeruli segmentation.

Accurate segmentation and classification of glomeruli are fundamental to histopathology slide analys...

Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.

INTRODUCTION: Artificial intelligence technology has a wide range of application prospects in the fi...

Integrated RNA sequencing analysis and machine learning identifies a metabolism-related prognostic signature in clear cell renal cell carcinoma.

The connection between metabolic reprogramming and tumor progression has been demonstrated in an inc...

Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types.

Recently, as the number of cancer patients has increased, much research is being conducted for effic...

BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation.

BACKGROUND AND OBJECTIVE: Accurate segmentation of the prostate region in magnetic resonance imaging...

Artificial Intelligence for Predicting HER2 Status of Gastric Cancer Based on Whole-Slide Histopathology Images: A Retrospective Multicenter Study.

Human epidermal growth factor receptor 2 (HER2) positive gastric cancer (GC) shows a robust response...

Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy.

BACKGROUND: This study aims to evaluate the capabilities and limitations of large language models (L...

Deep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology.

PURPOSE: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph no...

Harnessing machine learning to predict prostate cancer survival: a review.

The prediction of survival outcomes is a key factor in making decisions for prostate cancer (PCa) tr...

A stacking ensemble system for identifying the presence of histological variants in bladder carcinoma: a multicenter study.

PURPOSE: To create a system to enable the identification of histological variants of bladder cancer ...

Amphotericin B tissue penetration and pharmacokinetics in healthy and -infected rats: insights from microdialysis and population modeling.

INTRODUCTION: This study evaluated the relationship between total plasma and free kidney concentrati...

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