Urology

Urinary Incontinence

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

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Showing 22-42 of 3,588 articles
Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI.

Integrative experiment design is a needed improvement over ad hoc experiments, but the specific prop...

Choosing human over AI doctors? How comparative trust associations and knowledge relate to risk and benefit perceptions of AI in healthcare.

The development of artificial intelligence (AI) in healthcare is accelerating rapidly. Beyond the ur...

Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information.

Recently, the interest in AI-guided ChatGPT has increased day-to-day, and different applications hav...

Efficient Integrity-Tree Structure for Convolutional Neural Networks through Frequent Counter Overflow Prevention in Secure Memories.

Advancements in convolutional neural network (CNN) have resulted in remarkable success in various co...

Development of an Artificial Neural Network Algorithm Embedded in an On-Site Sensor for Water Level Forecasting.

Extreme weather events cause stream overflow and lead to urban inundation. In this study, a decentra...

[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Skewed information about medicines in social media influence the healthcare-patient contact. Healthc...

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment.

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged...

Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations.

We assess whether deep convolutional networks (DCN) can account for a most fundamental property of h...

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

In view of the employment difficulties of college graduates, this paper analyzes the overflow of gra...

Clean energy selection for sustainable development by using entropy-based decision model with hesitant fuzzy information.

Smart cities development is an ambitious project launched in India in 2015 with around 14 billion US...

A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications.

BACKGROUND AND OBJECTIVES: The COVID-19 pandemic manifested the need of developing robust digital pl...

Data-driven method based on deep learning algorithm for detecting fat, oil, and grease (FOG) of sewer networks in urban commercial areas.

The content of fat, oil and grease (FOG) in the sewer network sediments is the key indicator for dia...

Risk assessment of COVID-19 pandemic using deep learning model for J&K in India: a district level analysis.

The coronavirus disease 2019 (COVID-19) is an ongoing pandemic with high morbidity and mortality rat...

Investigating the impact of sewer overflow on the environment: A comprehensive literature review paper.

Sewer networks play a pivotal role in our everyday lives by transporting the stormwater and urban se...

Online evaluation method of coal mine comprehensive level based on FCE.

An online evaluation method of coal mine comprehensive level based on Fuzzy Comprehensive Evaluation...

Artificial Intelligence Applied to the Rapid Identification of New Antimalarial Candidates with Dual-Stage Activity.

Increasing reports of multidrug-resistant malaria parasites urge the discovery of new effective drug...

Exploring the multiscale hydrologic regulation of multipond systems in a humid agricultural catchment.

Assessing the hydrologic processes over scales ranging from single wetland to regional is critical t...

Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events.

Nicotine consumption is considered a major health problem, where many of those who wish to quit smok...

A rainwater control optimization design approach for airports based on a self-organizing feature map neural network model.

To address the problems of high overflow rate of pipe network inspection well and low drainage effic...

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