Oliveira Maria Beatriz Macedo de, Mendes Francisco, Martins Miguel, Cardoso Pedro, Fonseca João, Mascarenhas Teresa, Saraiva Miguel Mascarenhas
Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.
Diagnostics (Basel). 2025 Jan 24;15(3):274. doi: 10.3390/diagnostics15030274.
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.
人工智能（AI）是医学领域新的热门话题，主要应用于具有强大成像成分的专业领域。在妇科领域，人工智能已经在几个领域进行了测试，并显示出巨大的潜力，取得了令人鼓舞的成果，尤其在肿瘤学方面。然而，针对泌尿妇科的研究较少，泌尿妇科是妇科的一个分支，以在女性盆底健康管理中使用多种影像学检查（IE）和测试而闻名。本综述旨在阐述人工智能在泌尿妇科的现状，即机器学习（ML）和深度学习（DL）在诊断中的应用以及作为成像工具的情况，讨论人工智能在该领域可能的未来前景，并探讨其限制因素，这些因素对其安全实施构成挑战。
