Literature DB >> 33160511

Artificial intelligence in reproductive medicine: a fleeting concept or the wave of the future?

Zev Rosenwaks1.   

Abstract

As the world becomes increasingly reliant on computers, it is not surprising that medicine has embraced the computer age with enthusiasm. This is also true in the field of reproductive medicine, where we are witnessing exciting applications of digital technologies and artificial intelligence (AI). It is anticipated that AI-guided approaches will become more objective, more accurate, and more rapid, resulting in greater precision, standardization, and automatization in our field. This month's Views and Reviews contains five thought-provoking contributions addressing the contemporary and futuristic applications of AI in reproductive medicine and the assisted reproductive technologies.
Copyright © 2020 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Keywords:  Artificial intelligence; embryo assessment; machine learning; precision medicine; predictive modeling

Mesh:

Year:  2020        PMID: 33160511     DOI: 10.1016/j.fertnstert.2020.10.002

Source DB:  PubMed          Journal:  Fertil Steril        ISSN: 0015-0282            Impact factor:   7.329


  2 in total

1.  Interpretable, not black-box, artificial intelligence should be used for embryo selection.

Authors:  Michael Anis Mihdi Afnan; Yanhe Liu; Vincent Conitzer; Cynthia Rudin; Abhishek Mishra; Julian Savulescu; Masoud Afnan
Journal:  Hum Reprod Open       Date:  2021-11-02

Review 2.  Reporting on the Value of Artificial Intelligence in Predicting the Optimal Embryo for Transfer: A Systematic Review including Data Synthesis.

Authors:  Konstantinos Sfakianoudis; Evangelos Maziotis; Sokratis Grigoriadis; Agni Pantou; Georgia Kokkini; Anna Trypidi; Polina Giannelou; Athanasios Zikopoulos; Irene Angeli; Terpsithea Vaxevanoglou; Konstantinos Pantos; Mara Simopoulou
Journal:  Biomedicines       Date:  2022-03-17
  2 in total

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