Literature DB >> 31277764

Artificial intelligence: its applications in reproductive medicine and the assisted reproductive technologies.

Nikica Zaninovic1, Olivier Elemento2, Zev Rosenwaks1.   

Abstract

Mesh：

Year:  2019        PMID： 31277764     DOI： 10.1016/j.fertnstert.2019.05.019

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


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  7 in total

Review 1.  Artificial Intelligence in the Assessment of Female Reproductive Function Using Ultrasound: A Review.

Authors:  Zhiyi Chen; Ziyao Wang; Meng Du; Zhenyu Liu
Journal:  J Ultrasound Med       Date:  2021-09-15       Impact factor: 2.754

2.  Trending in human ARTs: Jumping on the Artificial Intelligence and Machine Learning bandwagon.

Authors:  David F Albertini
Journal:  J Assist Reprod Genet       Date:  2021-07       Impact factor: 3.357

Review 3.  Review of computer vision application in in vitro fertilization: the application of deep learning-based computer vision technology in the world of IVF.

Authors:  Claudio Michael Louis; Alva Erwin; Nining Handayani; Arie A Polim; Arief Boediono; Ivan Sini
Journal:  J Assist Reprod Genet       Date:  2021-04-03       Impact factor: 3.357

Review 4.  The Conundrum of Poor Ovarian Response: From Diagnosis to Treatment.

Authors:  Polina Giannelou; Mara Simopoulou; Sokratis Grigoriadis; Evangelos Makrakis; Adamantia Kontogeorgi; Agni Pantou; Dionysios Galatis; Theodoros Kalampokas; Panagiotis Bakas; Stamatis Bolaris; Konstantinos Pantos; Konstantinos Sfakianoudis
Journal:  Diagnostics (Basel)       Date:  2020-09-11

5.  Three-Dimensional Automated Volume Calculation (Sonography-Based Automated Volume Count) versus Two-Dimensional Manual Ultrasonography for Follicular Tracking and Oocyte Retrieval in Women Undergoing in vitro Fertilization-Embryo Transfer: A Randomized Controlled Trial.

Authors:  Nilofar Noor; Chithira Pulimoottil Vignarajan; Neena Malhotra; Perumal Vanamail
Journal:  J Hum Reprod Sci       Date:  2020-12-28

6.  Can methods of artificial intelligence aid in optimizing patient selection in patients undergoing intrauterine inseminations?

Authors:  Nejc Kozar; Vilma Kovač; Milan Reljič
Journal:  J Assist Reprod Genet       Date:  2021-05-24       Impact factor: 3.412

7.  Embryo selection with artificial intelligence: how to evaluate and compare methods?

Authors:  Mikkel Fly Kragh; Henrik Karstoft
Journal:  J Assist Reprod Genet       Date:  2021-06-26       Impact factor: 3.412
  7 in total

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