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

Author:

Brandão Marta1,Mendes Francisco23ORCID,Martins Miguel23ORCID,Cardoso Pedro123ORCID,Macedo Guilherme123ORCID,Mascarenhas Teresa14,Mascarenhas Saraiva Miguel123ORCID

Affiliation:

1. Faculty of Medicine, University of Porto, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal

2. Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal

3. WGO Gastroenterology and Hepatology Training Center, 4200-427 Porto, Portugal

4. Department of Obstetrics and Gynecology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal

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.

Publisher

MDPI AG

Reference107 articles.

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