Urology

BPH/LUTS

Latest AI and machine learning research in bph/luts for healthcare professionals.

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Showing 1-21 of 2,130 articles
Unsupervised machine learning approach to interpret complex lower urinary tract symptoms and their impact on quality of life in adult women.

PURPOSE: To identify clinically meaningful clusters of lower urinary tract symptoms (LUTS) in adult ...

A visualized machine learning model using noninvasive parameters to differentiate men with and without prostatic carcinoma before biopsy.

This study aimed to create a visualized extreme gradient boosting (XGBOOST) model to distinguish pro...

AI-driven scientometric analysis with recency insights: lower urinary tract symptoms in older and frail populations.

PURPOSE: This artificial intelligence (AI)-driven scientometric analysis, conducted using the Mynd d...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

Self-organizing maps to aid prognostic and diagnostic biomarker identification in exploratory metabolomics of benign prostatic hyperplasia.

INTRODUCTION: Population aging is increasing rapidly, representing a global trend that has launched ...

Bioinformatics and machine learning approaches to explore key biomarkers in muscle aging linked to adipogenesis.

Adipogenesis is intricately linked to the onset and progression of muscle aging; however, the releva...

Evaluating the role of generative AI and color patterns in the dissemination of war imagery and disinformation on social media.

This study explores the evolving role of social media in the spread of misinformation during the Ukr...

A Multi-Class ECG Signal Classifier Using a Binarized Depthwise Separable CNN with the Merged Convolution-Pooling Method.

Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...

AI for BPH Surgical Decision-Making: Cost Effectiveness and Outcomes.

PURPOSE OF REVIEW: Benign prostatic hyperplasia (BPH) is prevalent in nearly 70% of men over the age...

Mitigating off-target effects of small RNAs: conventional approaches, network theory and artificial intelligence.

Three types of highly promising small RNA therapeutics, namely, small interfering RNAs (siRNAs), mic...

The path to the G protein-coupled receptor structural landscape: Major milestones and future directions.

G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from...

Single-port robot-assisted simple prostatectomy: techniques and outcomes.

PURPOSE: To describe the surgical techniques and to analyse the outcomes of single-port robot-assist...

A robotic approach to clamshell augmentation enterocystoplasty.

Augmentation cystoplasty (AC) is a well-established surgical option for the management of overactive...

Transperineal laser ablation of the prostate as a treatment for benign prostatic hyperplasia and prostate cancer: The results of a Delphi consensus project.

OBJECTIVE: To evaluate transperineal laser ablation (TPLA) with Echolaser® (Echolaser® TPLA, Elesta ...

The application of artificial intelligence to accelerate G protein-coupled receptor drug discovery.

The application of artificial intelligence (AI) approaches to drug discovery for G protein-coupled r...

Outcomes of Robotic Simple Prostatectomy After Prior Failed Endoscopic Treatment of Benign Prostatic Hyperplasia.

We compared outcomes of robot-assisted simple prostatectomy (RASP) in patients with and without a h...

Robot-Assisted Simple Prostatectomy: A Comparison of Primary Simple Prostatectomy Salvage Simple Prostatectomy in Treatment of Lower Urinary Tract Symptoms.

Simple prostatectomy is indicated in patients with enlarged glands (>80 ) who present with lower ur...

Multimodal convolutional neural networks based on the Raman spectra of serum and clinical features for the early diagnosis of prostate cancer.

We collected surface-enhanced Raman spectroscopy (SERS) data from the serum of 729 patients with pro...

Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics.

Dynamic contrast-enhanced MRI (DCE-MRI) is routinely included in the prostate MRI protocol for a lon...

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