We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology.
- Authors
Brandão, Marta; Mendes, Francisco; Martins, Miguel; Cardoso, Pedro; Macedo, Guilherme; Mascarenhas, Teresa; Mascarenhas Saraiva, Miguel
- Abstract
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.
- Subjects
ARTIFICIAL intelligence; WOMEN'S health; MACHINE learning; GYNECOLOGY; DEEP learning; ADOLESCENT gynecology; ONCOLOGY nursing
- Publication
Journal of Clinical Medicine, 2024, Vol 13, Issue 4, p1061
- ISSN
2077-0383
- Publication type
Article
- DOI
10.3390/jcm13041061