Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2018 Aug;68(4):326-327.
doi: 10.1007/s13224-018-1118-4. Epub 2018 Apr 10.

Artificial Intelligence: The Future of Obstetrics and Gynecology

Affiliations
Editorial

Artificial Intelligence: The Future of Obstetrics and Gynecology

Gaurav Shyam Desai. J Obstet Gynaecol India. 2018 Aug.

Abstract

Background: Artificial intelligence or 'big data' comprises of algorithms which aid in decision making. It has made an impact on a number of professions including obstetrics and gynecology.

Objective: To make readers aware of where artificial intelligence has a role in obstetrics and gynecology.

Material and methods: A comprehensive review of the literature was undertaken to compile a list of instances where artificial intelligence was applied to obstetrics and gynecology.

Conclusion: Artificial intelligence should be utilized to benefit patient care and assist the physician in providing data for decision making.

Keywords: Artificial intelligence; Gynecology; Obstetrics.

PubMed Disclaimer

Conflict of interest statement

Compliance with Ethical StandardsThe author declares that he has no conflict of interest.None.

References

    1. Siristatidis C, Pouliakis A, Chrelias C, et al. Artificial intelligence in IVF: a need. Syst Biol Reprod Med. 2011;57(4):179–185. doi: 10.3109/19396368.2011.558607. - DOI - PubMed
    1. Lutomski JE, Meaney S, Greene RA, et al. Expert systems for fetal assessment in labour. Cochrane Database Syst Rev. 2015;4:CD010708.
    1. Jauniaux E, Prefumo F. Fetal heart monitoring in labour: from pinard to artificial intelligence. BJOG. 2016;123(6):870. doi: 10.1111/1471-0528.13844. - DOI - PubMed
    1. Guijarro-Berdiñas B, Alonso-Betanzos A. Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness. Artif Intell Med. 2002;24(1):71–96. doi: 10.1016/S0933-3657(01)00091-4. - DOI - PubMed
    1. Brocklehurst P; INFANT Collaborative Group A study of an intelligent system to support decision making in the management of labour using the cardiotocograph—the INFANT study protocol. BMC Pregnancy Childbirth. 2016;20(16):10. doi: 10.1186/s12884-015-0780-0. - DOI - PMC - PubMed

Publication types

LinkOut - more resources