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Automation in ART: Paving the Way for the Future of Infertility Treatment

In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibilit...

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Autores principales: Abdullah, Kadrina Abdul Latif, Atazhanova, Tomiris, Chavez-Badiola, Alejandro, Shivhare, Sourima Biswas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160149/
https://www.ncbi.nlm.nih.gov/pubmed/35922741
http://dx.doi.org/10.1007/s43032-022-00941-y
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author Abdullah, Kadrina Abdul Latif
Atazhanova, Tomiris
Chavez-Badiola, Alejandro
Shivhare, Sourima Biswas
author_facet Abdullah, Kadrina Abdul Latif
Atazhanova, Tomiris
Chavez-Badiola, Alejandro
Shivhare, Sourima Biswas
author_sort Abdullah, Kadrina Abdul Latif
collection PubMed
description In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes undertaken by skilled professionals. Therefore, in order to sustain the exponential demand for IVF on one hand, and streamline existing processes on the other, innovation is essential. This may not only effectively manage clinical time but also reduce cost, thereby increasing accessibility, affordability and efficiency. Recent years have seen a diverse range of technologies, some integrated with artificial intelligence, throughout the IVF pathway, which promise personalisation and, at least, partial automation in the not-so-distant future. This review aims to summarise the rapidly evolving state of these innovations in automation, with or without the integration of artificial intelligence, encompassing the patient treatment pathway, gamete/embryo selection, endometrial evaluation and cryopreservation of gametes/embryos. Additionally, it shall highlight the resulting prospective change in the role of IVF professionals and challenges of implementation of some of these technologies, thereby aiming to motivate continued research in this field. GRAPHICAL ABSTRACT: [Image: see text]
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spelling pubmed-101601492023-05-06 Automation in ART: Paving the Way for the Future of Infertility Treatment Abdullah, Kadrina Abdul Latif Atazhanova, Tomiris Chavez-Badiola, Alejandro Shivhare, Sourima Biswas Reprod Sci Review In vitro fertilisation (IVF) is estimated to account for the birth of more than nine million babies worldwide, perhaps making it one of the most intriguing as well as commoditised and industrialised modern medical interventions. Nevertheless, most IVF procedures are currently limited by accessibility, affordability and most importantly multistep, labour-intensive, technically challenging processes undertaken by skilled professionals. Therefore, in order to sustain the exponential demand for IVF on one hand, and streamline existing processes on the other, innovation is essential. This may not only effectively manage clinical time but also reduce cost, thereby increasing accessibility, affordability and efficiency. Recent years have seen a diverse range of technologies, some integrated with artificial intelligence, throughout the IVF pathway, which promise personalisation and, at least, partial automation in the not-so-distant future. This review aims to summarise the rapidly evolving state of these innovations in automation, with or without the integration of artificial intelligence, encompassing the patient treatment pathway, gamete/embryo selection, endometrial evaluation and cryopreservation of gametes/embryos. Additionally, it shall highlight the resulting prospective change in the role of IVF professionals and challenges of implementation of some of these technologies, thereby aiming to motivate continued research in this field. GRAPHICAL ABSTRACT: [Image: see text] Springer International Publishing 2022-08-03 /pmc/articles/PMC10160149/ /pubmed/35922741 http://dx.doi.org/10.1007/s43032-022-00941-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Abdullah, Kadrina Abdul Latif
Atazhanova, Tomiris
Chavez-Badiola, Alejandro
Shivhare, Sourima Biswas
Automation in ART: Paving the Way for the Future of Infertility Treatment
title Automation in ART: Paving the Way for the Future of Infertility Treatment
title_full Automation in ART: Paving the Way for the Future of Infertility Treatment
title_fullStr Automation in ART: Paving the Way for the Future of Infertility Treatment
title_full_unstemmed Automation in ART: Paving the Way for the Future of Infertility Treatment
title_short Automation in ART: Paving the Way for the Future of Infertility Treatment
title_sort automation in art: paving the way for the future of infertility treatment
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160149/
https://www.ncbi.nlm.nih.gov/pubmed/35922741
http://dx.doi.org/10.1007/s43032-022-00941-y
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