Seval Mehmet Murat, Varlı Bulut
Department of Obstetrics and Gynecology, Ankara University School of Medicine, Ankara, Türkiye.
Front Med (Lausanne). 2023 Feb 23;10:1098205. doi: 10.3389/fmed.2023.1098205. eCollection 2023.
In today's medical practice clinicians need to struggle with a huge amount of data to improve the outcomes of the patients. Sometimes one clinician needs to deal with thousands of ultrasound images or hundred papers of laboratory results. To overcome this shortage, computers get in help of human beings and they are educated under the term "artificial intelligence." We were using artificial intelligence in our daily lives (i.e., Google, Netflix, etc.), but applications in medicine are relatively new. In obstetrics and gynecology, artificial intelligence models mostly use ultrasound images for diagnostic purposes but nowadays researchers started to use other medical recordings like non-stress tests or urodynamics study results to develop artificial intelligence applications. Urogynecology is a developing subspecialty of obstetrics and gynecology, and articles about artificial intelligence in urogynecology are limited but in this review, we aimed to increase clinicians' knowledge about this new approach.
在当今的医学实践中,临床医生需要处理大量数据以改善患者的治疗效果。有时,一名临床医生需要处理数千张超声图像或数百份实验室检查报告。为了克服这一不足,计算机在人类的帮助下得以发展,并在“人工智能”这一概念下接受训练。我们在日常生活中已经在使用人工智能(例如谷歌、网飞等),但其在医学领域的应用相对较新。在妇产科领域,人工智能模型大多用于超声图像诊断,但如今研究人员开始使用其他医学记录,如无应激试验或尿动力学研究结果来开发人工智能应用。女性盆底医学与重建外科是妇产科中一个不断发展的亚专业,关于女性盆底医学与重建外科领域人工智能的文章有限,但在本综述中,我们旨在增加临床医生对这种新方法的了解。