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VOLUME 16 , ISSUE 2 ( March-April, 2024 ) > List of Articles

REVIEW ARTICLE

Revolutionizing Women's Health: Artificial Intelligence's Impact on Obstetrics and Gynecology

Akila Kannaiyan, Sovan Bagchi, Vinaya Vijayan, Polevoy Georgiy, Sasikala Manickavasagam, Devika Sanil Kumar

Keywords : Artificial Intelligence on gynecology, Assisted reproductive technology, Gynecology, Obstetrics, Premature labor, Women's health

Citation Information : Kannaiyan A, Bagchi S, Vijayan V, Georgiy P, Manickavasagam S, Kumar DS. Revolutionizing Women's Health: Artificial Intelligence's Impact on Obstetrics and Gynecology. J South Asian Feder Obs Gynae 2024; 16 (2):161-168.

DOI: 10.5005/jp-journals-10006-2394

License: CC BY-NC 4.0

Published Online: 23-02-2024

Copyright Statement:  Copyright © 2024; The Author(s).


Abstract

Health care has a tremendous growth in using artificial intelligence (AI). The AI technologies may serve as instruments for developing algorithms that can detect untreated women with a small cervical length, indicating a higher risk of premature delivery. Moreover, using the huge data capacity of AI storage might aid in identifying the risk factors for PRT labor by utilizing multiomics and comprehensive genetic data. This review examines the relevant elements of AI in obstetrics and gynecology (OB/GYN). It explores whether they enhance patient benefits and decrease medical professional expenses and burdens. Ultimately, the goal is to decrease the rates of illness and death among both mothers and infants. The review paper provides a comprehensive overview of crucial aspects of women's health, encompassing various subtopics. Maternal–fetal monitoring, pregnancy-induced diabetes, premature labor, labor, and delivery, assisted reproductive technology (ART), oncologic screening, and gynecological surgery procedures are covered. This review aims to address the growing need for consolidated information on these subjects, owing to their profound impact on maternal and fetal well-being, and holds immense importance in contemporary health care, influencing the diagnosis, management, and treatment of complex conditions. The review focuses on using AI to analyze fetal health surveillance. The aim is to assist in the identification of preterm (PRT) labor, pregnancy complications, and differences in interpretation among healthcare professionals. Understanding these areas is crucial for healthcare professionals to implement effective strategies, improve outcomes, and ensure better care for women during pregnancy, childbirth, and gynecological conditions.

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