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

• Tipo: Outra Publicação em Revista Científica Internacional
• Data: 2024

Autores

Brandão, M (Autor) Outra; Mendes, F (Autor) Outra; Martins, M (Autor) Outra; Cardoso, P (Autor) Outra; Macedo G (Autor) FMUP; Mascarenhas, T (Autor) Outra; Mascarenhas Saraiva, M (Autor) Outra

Revista

Título: Journal of Clinical Medicine

Vol. 13 Nº 17

Página Final: 1061

ISSN: 2077-0383

Editora: MDPI

Indexação

Scopus

Outras Informações

ID Authenticus: P-010-2EK

DOI: 10.3390/jcm13041061

Abstract (EN): 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. © 2024 by the authors.

Idioma: Inglês

Tipo (Avaliação Docente): Científica