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Artificial Intelligence: Revolution in Assisted Reproductive Technology

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Proceedings of International Conference on Communication and Computational Technologies (ICCCT 2023)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Artificial intelligence is the imitation of cognitive functions of the human intelligence process, such as machine learning, thinking, and perception. In the past few years, artificial intelligence has grown tremendously in the medical field by providing more accurate analysis and efficient diagnostics like giving data-driven clinical decision support (CDS) to doctors. It is now exploring robotic surgery, new drug discovery, patient care, pathology, etc. Though it is growing at an incomparable rate, how far this technology has reached and evolved in reproductive medicine, especially in assisted reproductive technology is still a question. This paper is structured in a way reviewing the artificial intelligence-based assisted reproductive technology (ART) evaluation methods and dataset availability in sperm, embryo, oocyte, and live birth analysis.

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Author information

Authors and Affiliations

  1. Annamalai University, Chidambaram, Tamil Nadu, India

    R. Barkavi & G. Yamuna

  2. Wings IVF Hospital, Khammam, Telangana, India

    C. Jayaram

Authors
  1. R. Barkavi
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  2. G. Yamuna
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  3. C. Jayaram
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Corresponding author

Correspondence to R. Barkavi .

Editor information

Editors and Affiliations

  1. Christ ((Deemed to be University), Bengaluru, Karnataka, India

    Sandeep Kumar

  2. Rajasthan Institute of Engineering and Technology, Jaipur, India

    Saroj Hiranwal

  3. Rajasthan Technical University, Kota, India

    S.D. Purohit

  4. University of Technology Sydney, Ultimo, NSW, Australia

    Mukesh Prasad

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Barkavi, R., Yamuna, G., Jayaram, C. (2023). Artificial Intelligence: Revolution in Assisted Reproductive Technology. In: Kumar, S., Hiranwal, S., Purohit, S., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. ICCCT 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-3485-0_76

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