Are computational applications the 'crystal ball' in the IVF laboratory? The evolution from mathematics to artificial intelligence
| Autor: | N. G. Antoniou, George Anifandis, Anna Rapani, Mara Simopoulou, Stamatis Bolaris, Panagiotis Bakas, Konstantinos Sfakianoudis, Michael Koutsilieris, Konstantinos Pantos, Evangelos Maziotis, Agni Pantou |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Service (systems architecture) Pregnancy Rate Fertilization in Vitro Routine practice 03 medical and health sciences 0302 clinical medicine Artificial Intelligence Pregnancy Genetics Humans Genetics (clinical) Selection (genetic algorithm) 030219 obstetrics & reproductive medicine business.industry Obstetrics and Gynecology General Medicine Clinical Practice 030104 developmental biology Blastocyst Reproductive Medicine Commentary Female Artificial intelligence business Laboratories Mathematics Software Developmental Biology |
| Zdroj: | Journal of assisted reproduction and genetics. 35(9) |
| ISSN: | 1573-7330 |
| Popis: | Mathematics rules the world of science. Innovative technologies based on mathematics have paved the way for implementation of novel strategies in assisted reproduction. Ascertaining efficient embryo selection in order to secure optimal pregnancy rates remains the focus of the in vitro fertilization scientific community and the strongest driver behind innovative approaches. This scoping review aims to describe and analyze complex models based on mathematics for embryo selection, devices, and software most widely employed in the IVF laboratory and algorithms in the service of the cutting-edge technology of artificial intelligence. Despite their promising nature, the practicing embryologist is the one ultimately responsible for the success of the IVF laboratory and thus the one to approve embracing pioneering technologies in routine practice. Applied mathematics and computational biology have already provided significant insight into the selection of the most competent preimplantation embryo. This review describes the leap of evolution from basic mathematics to bioinformatics and investigates the possibility that computational applications may be the means to foretell a promising future for the IVF clinical practice. |
| Databáze: | OpenAIRE |
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