Clinical prospects for using artificial intelligence in urogynecology: a literature review
DOI:
https://doi.org/10.37800/RM.1.2025.465Keywords:
artificial intelligence, deep learning, natural language processing, urogynecology, gynecologyAbstract
Relevance: Over the past decades, the application of artificial intelligence (AI) in medicine has expanded significantly, encompassing almost all medical disciplines. AI technologies are applied in various fields of obstetrics and gynecology, including general obstetrics, gynecological surgery, prenatal ultrasound, and assisted reproductive technologies, among others. AI is one of the most rapidly evolving medical technologies, especially in specialties where imaging plays a key role. AI has already demonstrated significant potential in gynecology in several areas, particularly oncology, where studies have shown promising results. However, in urogynecology, despite the widespread use of visual diagnostic methods and tests for assessing pelvic floor condition in women, significantly fewer studies have been conducted on AI applications.
The study aimed to analyze the current status of AI usage in obstetrics and gynecology, assess the achievements of machine learning that contribute to the development of this field, identify existing limitations, and determine the prospects for further application of AI.
Materials and Methods: A search for scientific publications was conducted in the PubMed, Scopus, Google Scholar, and e-Library databases in English, Kazakh, and Russian languages using keywords and medical subject headings (MeSH) among materials published from January 1, 2020, to February 10, 2025. A total of 48 articles were included in the review.
Results: This review analyzes the transformative impact of AI technologies on the diagnosis, treatment, and management of urogynecological disorders. It examines key advancements in imaging methods, predictive analytics, and AI-based personalized medicine, emphasizing their role in improving diagnostic accuracy, enhancing prenatal care, and optimizing urogynecological interventions.
Conclusion: The literature review highlights the significant potential of AI in enhancing medical care standards in urogynecology to improve clinical outcomes and overall women’s reproductive health. The presented analysis of current and future AI usage demonstrates the need for further research and the development of strategies to safely and effectively integrate these technologies into clinical practice.
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