[Urodynamics: All the nurse needs to know]

The role of artificial intelligence in the future of urogynecology

Artificial intelligence (AI) in medicine is a rapidly growing field aimed at using machine learning models to improve health outcomes and patient experiences. Many new platforms have become accessible and therefore it seems inevitable that we consider how to implement them in our day-to-day practice. Currently, the specialty of urogynecology faces new challenges as the population grows, life expectancy increases, and quality of life expectation is much improved. As AI has a lot of potential to promote the discipline of urogynecology, we aim to explore its abilities and possible use in the future. Challenges and risks are associated with using AI, and a responsible use of such resources is required.

[Female voiding dysfunction: Clean intermittent catheterization is not the only option]

Female voiding dysfunction exists but are largely underdiagnosed, especially in France. They can result from two different mechanisms: detrusor underactivity or bladder outlet obstruction, with very different pathophysiology and therapeutic management. There are many different therapeutic options, including surgical treatments, to offer as alternative to clean intermittent catheterization which are often burdensome for patients. Seeking voiding dysfunction in female patients with lower urinary tract symptoms and searching for their etiology to tackle it could lead to a paradigm change in these women: from standardized treatment to individualized treatment. In their practice, nurses can detect warning symptoms suspect of voiding dysfunction, and have thus a role to play in the improvement of patients' screening, education other healthcare providers, and management of female voiding dysfunction.