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Published in: The Journal of Obstetrics and Gynecology of India 4/2018

01-08-2018 | Short Commentary

Artificial Intelligence: The Future of Obstetrics and Gynecology

Author: Gaurav Shyam Desai

Published in: The Journal of Obstetrics and Gynecology of India | Issue 4/2018

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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.
Literature
1.
go back to reference Siristatidis C, Pouliakis A, Chrelias C, et al. Artificial intelligence in IVF: a need. Syst Biol Reprod Med. 2011;57(4):179–85.CrossRefPubMed Siristatidis C, Pouliakis A, Chrelias C, et al. Artificial intelligence in IVF: a need. Syst Biol Reprod Med. 2011;57(4):179–85.CrossRefPubMed
2.
go back to reference Lutomski JE, Meaney S, Greene RA, et al. Expert systems for fetal assessment in labour. Cochrane Database Syst Rev. 2015;4:CD010708. Lutomski JE, Meaney S, Greene RA, et al. Expert systems for fetal assessment in labour. Cochrane Database Syst Rev. 2015;4:CD010708.
3.
go back to reference Jauniaux E, Prefumo F. Fetal heart monitoring in labour: from pinard to artificial intelligence. BJOG. 2016;123(6):870.CrossRefPubMed Jauniaux E, Prefumo F. Fetal heart monitoring in labour: from pinard to artificial intelligence. BJOG. 2016;123(6):870.CrossRefPubMed
4.
go back to reference 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.CrossRefPubMed 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.CrossRefPubMed
5.
go back to reference 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.CrossRef 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.CrossRef
6.
go back to reference Dawes GS, Moulden M, Redman CW. System 8000: computerized antenatal FHR analysis. J Perinat Med. 1991;19(1–2):47–51.CrossRefPubMed Dawes GS, Moulden M, Redman CW. System 8000: computerized antenatal FHR analysis. J Perinat Med. 1991;19(1–2):47–51.CrossRefPubMed
7.
8.
go back to reference Idowu IO, Fergus P, Hussain A, et al. Artificial Intelligence for detecting preterm uterine activity in gynecology and obstetric care. In: 2015 IEEE international conference on computer and information technology. Idowu IO, Fergus P, Hussain A, et al. Artificial Intelligence for detecting preterm uterine activity in gynecology and obstetric care. In: 2015 IEEE international conference on computer and information technology.
Metadata
Title
Artificial Intelligence: The Future of Obstetrics and Gynecology
Author
Gaurav Shyam Desai
Publication date
01-08-2018
Publisher
Springer India
Published in
The Journal of Obstetrics and Gynecology of India / Issue 4/2018
Print ISSN: 0971-9202
Electronic ISSN: 0975-6434
DOI
https://doi.org/10.1007/s13224-018-1118-4

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