Literature DB >> 30065551

Artificial Intelligence: The Future of Obstetrics and Gynecology.

Gaurav Shyam Desai1.   

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.

Entities:  

Keywords:  Artificial intelligence; Gynecology; Obstetrics

Year:  2018        PMID: 30065551      PMCID: PMC6046674          DOI: 10.1007/s13224-018-1118-4

Source DB:  PubMed          Journal:  J Obstet Gynaecol India        ISSN: 0975-6434


  7 in total

1.  Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness.

Authors:  Bertha Guijarro-Berdiñas; Amparo Alonso-Betanzos
Journal:  Artif Intell Med       Date:  2002-01       Impact factor: 5.326

2.  System 8000: computerized antenatal FHR analysis.

Authors:  G S Dawes; M Moulden; C W Redman
Journal:  J Perinat Med       Date:  1991       Impact factor: 1.901

Review 3.  Artificial intelligence in IVF: a need.

Authors:  Charalampos Siristatidis; Abraham Pouliakis; Charalampos Chrelias; Dimitrios Kassanos
Journal:  Syst Biol Reprod Med       Date:  2011-03-04       Impact factor: 3.061

4.  Fetal heart monitoring in labour: from pinard to artificial intelligence.

Authors:  E Jauniaux; F Prefumo
Journal:  BJOG       Date:  2016-05       Impact factor: 6.531

5.  Prediction of preterm deliveries from EHG signals using machine learning.

Authors:  Paul Fergus; Pauline Cheung; Abir Hussain; Dhiya Al-Jumeily; Chelsea Dobbins; Shamaila Iram
Journal:  PLoS One       Date:  2013-10-28       Impact factor: 3.240

6.  Diagnostic potential for a serum miRNA neural network for detection of ovarian cancer.

Authors:  Kevin M Elias; Wojciech Fendler; Konrad Stawiski; Stephen J Fiascone; Allison F Vitonis; Ross S Berkowitz; Gyorgy Frendl; Panagiotis Konstantinopoulos; Christopher P Crum; Magdalena Kedzierska; Daniel W Cramer; Dipanjan Chowdhury
Journal:  Elife       Date:  2017-10-31       Impact factor: 8.140

7.  A study of an intelligent system to support decision making in the management of labour using the cardiotocograph - the INFANT study protocol.

Authors:  Peter Brocklehurst
Journal:  BMC Pregnancy Childbirth       Date:  2016-01-20       Impact factor: 3.007

  7 in total
  6 in total

Review 1.  Artificial intelligence in dermatology and healthcare: An overview.

Authors:  Varadraj Vasant Pai; Rohini Bhat Pai
Journal:  Indian J Dermatol Venereol Leprol       Date:  2021 [SEASON]       Impact factor: 2.545

Review 2.  Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care.

Authors:  Gayathri Delanerolle; Xuzhi Yang; Suchith Shetty; Vanessa Raymont; Ashish Shetty; Peter Phiri; Dharani K Hapangama; Nicola Tempest; Kingshuk Majumder; Jian Qing Shi
Journal:  Womens Health (Lond)       Date:  2021 Jan-Dec

3.  Preliminary Study on the Efficient Electrohysterogram Segments for Recognizing Uterine Contractions with Convolutional Neural Networks.

Authors:  Jin Peng; Dongmei Hao; Haipeng Liu; Juntao Liu; Xiya Zhou; Dingchang Zheng
Journal:  Biomed Res Int       Date:  2019-10-13       Impact factor: 3.411

4.  Effectiveness of an Electronic Partogram: A Mixed-Method, Quasi-Experimental Study Among Skilled Birth Attendants in Kenya.

Authors:  Harshadkumar Sanghvi; Diwakar Mohan; Lindsay Litwin; Eva Bazant; Patricia Gomez; Tara MacDowell; Levis Onsase; Valentino Wabwile; Charles Waka; Zahida Qureshi; Eunice Omanga; Anthony Gichangi; Ruth Muia
Journal:  Glob Health Sci Pract       Date:  2019-12-23

5.  Clinical Effects of Form-Based Management of Forceps Delivery under Intelligent Medical Model.

Authors:  Siming Xin; Zhizhong Wang; Hua Lai; Lingzhi Liu; Ting Shen; Fangping Xu; Xiaoming Zeng; Jiusheng Zheng
Journal:  J Healthc Eng       Date:  2021-05-31       Impact factor: 2.682

6.  Machine Learning Algorithm to Predict Acidemia Using Electronic Fetal Monitoring Recording Parameters.

Authors:  Javier Esteban-Escaño; Berta Castán; Sergio Castán; Marta Chóliz-Ezquerro; César Asensio; Antonio R Laliena; Gerardo Sanz-Enguita; Gerardo Sanz; Luis Mariano Esteban; Ricardo Savirón
Journal:  Entropy (Basel)       Date:  2021-12-30       Impact factor: 2.524

  6 in total

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