Urology

Urinary Incontinence

Latest AI and machine learning research in urinary incontinence for healthcare professionals.

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Showing 43-63 of 3,588 articles
Automated identification of Myxobacterial genera using Convolutional Neural Network.

The Myxococcales order consist of eleven families comprising30 genera, and are featured by the forma...

Hyponatremia Presenting with Recurrent Mania.

Primary psychogenic polydipsia (PPD) is a chronic, relapsing condition in which there is a disturban...

Lost in translation.

Translation in cognitive neuroscience remains beyond the horizon, brought no closer by supposed majo...

A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.

To accommodate structured approaches of neural computation, we propose a class of recurrent neural n...

The Impact of Bronchodilator Therapy on Systolic Heart Failure with Concomitant Mild to Moderate COPD.

In older adults, chronic obstructive pulmonary disease (COPD) is commonly associated with heart fail...

Statistical optimisation of xylanase production by estuarine sp. and its application in clarification of fruit juice.

Recently, xylanase has become an essential option for environmental friendly industrial biotechnolog...

ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even dea...

Spectral consensus strategy for accurate reconstruction of large biological networks.

BACKGROUND: The last decades witnessed an explosion of large-scale biological datasets whose analyse...

Classifying smoking urges via machine learning.

BACKGROUND AND OBJECTIVE: Smoking is the largest preventable cause of death and diseases in the deve...

A neuromorphic model of motor overflow in focal hand dystonia due to correlated sensory input.

OBJECTIVE: Motor overflow is a common and frustrating symptom of dystonia, manifested as unintention...

An autopsy case of cardiac tamponade caused by a ruptured ventricular aneurysm associated with acute myocarditis.

We report an autopsy case of hemopericardium caused by rupture of a ventricular aneurysm associated ...

Histopathologic and Urodynamic Effects of the Anticholinergic Drugs Oxybutynin, Tolterodine, and Trospium on the Bladder.

OBJECTIVES: This study aimed to evaluate the effects of intravesical instillation of the anticholine...

Urodynamic Efficacy and Safety of Mirabegron Add-on Treatment with Tamsulosin for Japanese Male Patients with Overactive Bladder.

OBJECTIVES: To investigate urodynamic efficacy and safety of mirabegron add-on treatment with tamsul...

Text-Assisted Vision Model for Medical Image Segmentation.

Precise medical image segmentation is important for automating diagnosis and treatment planning in h...

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistibl...

Evidential deep learning for trustworthy prediction of enzyme commission number.

The rapid growth of uncharacterized enzymes and their functional diversity urge accurate and trustwo...

Phytochemicals Analysis and Some Bioactive Properties of Salisb. (EMS); Antibacterial, Antiradical and Anti-lipid Peroxidation.

In the present study, the phenolic content by using LC MS/MS method, anticholinergic, antioxidant (m...

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes ...

Development and Validation of a Machine Learning Algorithm for Predicting Response to Anticholinergic Medications for Overactive Bladder Syndrome.

OBJECTIVE: To develop and externally validate a prediction model for anticholinergic response in pat...

DOMINO: Using Machine Learning to Predict Genes Associated with Dominant Disorders.

In contrast to recessive conditions with biallelic inheritance, identification of dominant (monoalle...

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