The Role of Artificial Intelligence in Urogynecology: Current Applications and Future Prospects

被引：0
|
作者：
de Oliveira, Maria Beatriz Macedo [1 ]
Mendes, Francisco [2 ,3 ]
Martins, Miguel [2 ,3 ]
Cardoso, Pedro [1 ,2 ,3 ]
Fonseca, Joao [4 ]
Mascarenhas, Teresa [1 ,5 ]
Saraiva, Miguel Mascarenhas [1 ,2 ,3 ]
机构：
[1] Univ Porto, Fac Med, Alameda Prof Hernani Monteiro, P-4200427 Porto, Portugal
[2] Sao Joao Univ Hosp, Dept Gastroenterol, Alameda Prof Hernani Monteiro, P-4200427 Porto, Portugal
[3] WGO Gastroenterol & Hepatol Training Ctr, P-4200427 Porto, Portugal
[4] Univ Porto, Fac Med, Dept Community Med Informat & Hlth Decis Sci MEDCI, CINTESIS RISE, P-4200427 Porto, Portugal
[5] Sao Joao Univ Hosp, Dept Obstet & Gynecol, Alameda Prof Hernani Monteiro, P-4200427 Porto, Portugal
来源：
DIAGNOSTICS | 2025年 / 15卷 / 03期
关键词：
artificial intelligence; gynecology; urogynecology; machine learning; deep learning; PELVIC ORGAN PROLAPSE; CLINICAL-TRIALS; COMPUTER VISION; PERSPECTIVES;
D O I：
10.3390/diagnostics15030274
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
Artificial intelligence (AI) is the new medical hot topic, being applied mainly in specialties with a strong imaging component. In the domain of gynecology, AI has been tested and shown vast potential in several areas with promising results, with an emphasis on oncology. However, fewer studies have been made focusing on urogynecology, a branch of gynecology known for using multiple imaging exams (IEs) and tests in the management of women's pelvic floor health. This review aims to illustrate the current state of AI in urogynecology, namely with the use of machine learning (ML) and deep learning (DL) in diagnostics and as imaging tools, discuss possible future prospects for AI in this field, and go over its limitations that challenge its safe implementation.
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收藏
页数：21
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