Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology

被引:2
|
作者
Brandao, Marta [1 ]
Mendes, Francisco [2 ,3 ]
Martins, Miguel [2 ,3 ]
Cardoso, Pedro [1 ,2 ,3 ]
Macedo, Guilherme [1 ,2 ,3 ]
Mascarenhas, Teresa [1 ,4 ]
Saraiva, Miguel Mascarenhas [1 ,2 ,3 ]
机构
[1] Univ Porto, Fac Med, 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] Sao Joao Univ Hosp, Dept Obstet & Gynecol, Alameda Prof Hernani Monteiro, P-4200427 Porto, Portugal
关键词
artificial intelligence; gynecology; deep learning; machine learning; COMPUTER-ASSISTED DIAGNOSIS; OVARIAN-CANCER; LABORATORY MEDICINE; CLASSIFICATION; IMAGES; MULTICENTER; TECHNOLOGIES; MODEL; CARE; AI;
D O I
10.3390/jcm13041061
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Artificial intelligence has yielded remarkably promising results in several medical fields, namely those with a strong imaging component. Gynecology relies heavily on imaging since it offers useful visual data on the female reproductive system, leading to a deeper understanding of pathophysiological concepts. The applicability of artificial intelligence technologies has not been as noticeable in gynecologic imaging as in other medical fields so far. However, due to growing interest in this area, some studies have been performed with exciting results. From urogynecology to oncology, artificial intelligence algorithms, particularly machine learning and deep learning, have shown huge potential to revolutionize the overall healthcare experience for women's reproductive health. In this review, we aim to establish the current status of AI in gynecology, the upcoming developments in this area, and discuss the challenges facing its clinical implementation, namely the technological and ethical concerns for technology development, implementation, and accountability.
引用
收藏
页数:21
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