Portal de investigação
Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology
Data de publicação:
Autores da FMUP
Participantes de fora da FMUP
- Brandao, Marta
- Mendes, Francisco
- Martins, Miguel
- Cardoso, Pedro
- Mascarenhas, Teresa
- Saraiva, Miguel Mascarenhas
Unidades de investigação
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.
Dados da publicação
- ISSN/ISSNe:
- 2077-0383, 2077-0383
- Tipo:
- Review
- Páginas:
- -
- DOI:
- 10.3390/jcm13041061
- Link para outro recurso:
- www.scopus.com
Journal of Clinical Medicine MDPI AG
Citações Recebidas na Web of Science: 1
Citações Recebidas na Scopus: 2
Documentos
- Não há documentos
Filiações
Keywords
- artificial intelligence; gynecology; deep learning; machine learning
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Citar a publicação
Brandao M,Mendes F,Martins M,Cardoso P,Macedo G,Mascarenhas T,Saraiva MM. Revolutionizing Women's Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology. J. Clin. Med. 2024. 13(4):1061. IF:3,900. (2).
