Urology

Urinary Incontinence

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

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Rethinking anticholinergic burden in older adults: innovative approaches to detection and management.

INTRODUCTION: Anticholinergic burden (AChB), the cumulative impact of medications with anticholinerg...

ProWaste for proactive urban waste management using IoT and machine learning.

Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled re...

Comment on "colorimetric methods using gold nanoparticles for forensic investigations".

This commentary evaluates the clinical and forensic utility of GNP-based colorimetric assays discuss...

AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization.

This paper presents AquaFlowNet, a machine learning-based algorithm for real-time wastewater flow ma...

Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas.

Urban flooding has become a prevalent issue in cities worldwide. Urban flood dynamics differ signifi...

Artificial intelligence application for identifying toxic plant species: A case of poisoning with Datura stramonium.

INTRODUCTION: The management of plant poisonings in the emergency department (ED) presents various c...

How artificial intelligence is transforming nephrology.

Current research in nephrology is increasingly focused on elucidating the complexity inherent in tig...

Identifying subgroups of urge suppression in Obsessive-Compulsive Disorder using machine learning.

Obsessive-compulsive disorder (OCD) is phenomenologically heterogeneous. While predominant models su...

Flood susceptibility mapping of Cheongju, South Korea based on the integration of environmental factors using various machine learning approaches.

Floods are natural occurrences that pose serious risks to human life and the environment, including ...

Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties.

AIMS: This study evaluated the use of machine learning to leverage drug absorption, distribution, me...

Fuzzy ensemble of fined tuned BERT models for domain-specific sentiment analysis of software engineering dataset.

Software engineers post their opinions about various topics on social media that can be collectively...

The consequences of generative AI for online knowledge communities.

Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGP...

The Evaluation of Generative AI Should Include Repetition to Assess Stability.

The increasing interest in the potential applications of generative artificial intelligence (AI) mod...

Artificial intelligence in multiple sclerosis management: Challenges in a new era.

Multiple sclerosis poses diagnostic and therapeutic challenges for healthcare professionals, with a ...

Human and AI collaboration in the higher education environment: opportunities and concerns.

In service of the goal of examining how cognitive science can facilitate human-computer interactions...

Bioinspired multiscale adaptive suction on complex dry surfaces enhanced by regulated water secretion.

Suction is a highly evolved biological adhesion strategy for soft-body organisms to achieve strong g...

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