期刊论文详细信息
Frontiers in Medicine
Current developments in artificial intelligence from obstetrics and gynecology to urogynecology
Medicine
Bulut Varlı1  Mehmet Murat Seval2 
[1] Department of Obstetrics and Gynecology, Ankara University School of Medicine, Ankara, Türkiye;null;
关键词: artificial intelligence;    deep learning;    machine learning;    urogynecology;    urinary incontinence;    pelvic organ prolapse;   
DOI  :  10.3389/fmed.2023.1098205
 received in 2022-11-14, accepted in 2023-02-09,  发布年份 2023
来源: Frontiers
PDF
【 摘 要 】

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.

【 授权许可】

Unknown   
Copyright © 2023 Seval and Varlı

【 预 览 】
附件列表
Files Size Format View
RO202310100987121ZK.pdf 384KB PDF download
  文献评价指标  
  下载次数:4次 浏览次数:1次