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Abstract
Urinary incontinence (UI) is a distressing condition involving involuntary loss of urine from the body. Urinary incontinence can negatively impact a person’s overall quality of life and lead them into stages of embarrassment and depression. It is an underrepresented and undertreated condition prevalent in women, especially in low socioeconomic regions where women may not be able to express their concerns due to unawareness of diagnosis and treatment/management options. There are different diagnostic and management protocols for UI; however, utilizing artificially intelligent systems is not standard care. This paper overviews the use of artificial intelligence in women’s health and as a means of cost-effectively diagnosing patients, and as an avenue for providing low-cost treatments to women that suffer from urinary incontinence in low-resource communities. Studies found that these systems, mainly utilizing artificial neural networks (ANNs) and convolutional neural networks (CNNs), served to be an effective method in diagnosing patients and providing an avenue for personalized treatment for improved patient outcomes. A simple artificial intelligence (AI) model utilizing Multilayer Perceptron (MLP) Networks was proposed to diagnose and manage urinary incontinence.
Highlights
Urinary Incontinence (UI) is a distressing condition involving involuntary loss of urine from the body
Studies found that these systems, mainly utilizing artificial neural networks (ANNs) and convolutional neural networks (CNNs), served to be an effective method in diagnosing patients and providing an avenue for personalized treatment for improved patient outcomes
This paper aims to examine artificial intelligence as a means of cost-effectively diagnosing patients by detecting pressure changes within regions of interest, and as an avenue for suggesting low-cost treatments for women that suffer from urinary incontinence in low-resource communities such as South Asia and Africa
Summary
Urinary Incontinence (UI) is a distressing condition involving involuntary loss of urine from the body. Childbirth, menopause, or even injury can allow dysfunction of the bladder or the pelvic floor muscles and connective tissue, which would enable urine leakage to occur [2]. Stress UI is the leakage of urine based on mechanical responses such as sneezing or jumping, which puts extra pressure on the pelvic floor and bladder [3]. Urgency UI or overactive bladder (OAB) is the leakage of urine due to the involuntary contraction of bladder muscles where the person would urinate under a sudden urge [4]. Urinary incontinence is not lifethreatening, it is a condition that negatively impacts a person’s overall quality of life, especially with women, as they may fall into a state of embarrassment and depression. Women that suffer from this condition are often unaware of the diagnosis and management options, so UI is considered to be one of the more commonly underdiagnosed and underrepresented medical conditions globally [5]
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