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Artificial Intelligence in Obstetrics

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Advances in Smart Healthcare Paradigms and Applications

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 244))

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Abstract

The aim of this chapter is to present theoretical and practical aspects of how Artificial Intelligence can be applied in the obstetrics field. We are discussing matters such as the poignant role that artificial intelligence plays in fetal morphology scans, how artificial intelligence help healthcare providers determine the type of birth should be used (vaginal vs. cesarean), and last but not least how can we monitor the training programs success in teaching doctors and midwifes in determining the fetal head position and weight.

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Abbreviations

AI:

Artificial Intelligence

CNN:

Convolutional Neural Networks

DE:

Differential Evolution

DL:

Deep Learning

EC:

Evolutionary Computation

EU:

European Union

FB:

Fetal Brain

FP:

Fetal Plane

NN:

Neural Networks

ReLU:

Rectified Linear Unit

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Acknowledgements

This work was supported by a grant of the Ministry of Research Innovation and Digitization, CNCS—UEFISCDI, project number PN-III-P4-PCE-2021-0057, within PNCDI III.

Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Sciences, University of Craiova, Craiova, Romania

    Smaranda Belciug & Dominic Gabriel Iliescu

  2. Departament of Obstetrics and Gynecology, University of Medicine and Pharmacy of Craiova, Craiova, Romania

    Dominic Gabriel Iliescu

Authors
  1. Smaranda Belciug
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  2. Dominic Gabriel Iliescu
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Corresponding author

Correspondence to Smaranda Belciug .

Editor information

Editors and Affiliations

  1. Department of Computational Intelligence, Wrocla Universtity of Science and Technology, Wroclaw, Poland

    Halina Kwaśnicka

  2. Inc., The Permanente Medical Group, California, CA, USA

    Nikhil Jain

  3. Department of Computational Intelligence, Wrocla Universtity, Wroclaw, Poland

    Urszula Markowska-Kaczmar

  4. Deakin University, Victoria, VIC, Australia

    Chee Peng Lim

  5. KES International, Selby, UK

    Lakhmi C. Jain

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Belciug, S., Iliescu, D.G. (2023). Artificial Intelligence in Obstetrics. In: Kwaśnicka, H., Jain, N., Markowska-Kaczmar, U., Lim, C.P., Jain, L.C. (eds) Advances in Smart Healthcare Paradigms and Applications. Intelligent Systems Reference Library, vol 244. Springer, Cham. https://doi.org/10.1007/978-3-031-37306-0_7

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