DOI:10.1093/humupd/dmac014 by Human Reproduction Update in 2022
[198]
The changing tide of human fertility.
DOI:10.1093/humrep/deac011 by Human Reproduction in 2022
[98]
TextBook
Artificial intelligence in scientific writing: a friend or a foe?
DOI:10.1016/j.rbmo.2023.04.009 by Reproductive BioMedicine Online in 2023
[1268]
Microfluidic chips in female reproduction: a systematic review of status, advances, and challenges
DOI:10.7150/thno.97301 by Theranostics in 2024
[1141]
Advancements in three-dimensional bioprinting for reproductive medicine: a systematic review
DOI:10.1016/j.rbmo.2024.104273 by Reproductive BioMedicine Online in 2024
[1103]
The Future of IVF: The New Normal in Human Reproduction
DOI:10.1007/s43032-021-00829-3 by Reproductive BioMedicine Online in 2022
[971]
Bioetics Issues of Artificial Placenta and Artificial Womb Technology
DOI:10.7417/CT.2023.2494 by Clinical Therapeutics in 2023
[947]
Gonadotrophins: The future
DOI:10.4103/0974-1208.147490 by Journal of Human Reproductive Sciences in 2014
[869]
Automation in ART: Paving the Way for the Future of Infertility Treatment
DOI:10.1007/s43032-022-00941-y by Reproductive Science in 2023
[867]
Recent Advances in 3D Cultures
DOI:10.3390/ijms25084189 by International Journal of Molecular Sciences in 2024
[819]
Micro/Nanorobotics in In Vitro Fertilization: A Paradigm Shift in Assisted Reproductive Technologies
DOI:10.3390/mi15040510 by Micromachines in 2024
[810]
The way to improve ART outcomes is to introduce more technologies in the laboratory.
DOI:10.1016/j.rbmo.2021.10.021 by Reproductive BioMedicine Online in 2022
[22]
Recent Publications
Beyond Earth's bounds: navigating the frontiers of Assisted Reproductive Technologies (ART) in space
DOI:10.1186/s12958-024-01290-y by Reproductive Biology and Endocrinology in 2024
[2127]
Webinars
SESSION 131: UP CLOSE AND CLINICAL
The International IVF Initiative - i3
Sub topics related to :The Future
ID
Course
Artificial intelligence in the IVF laboratory.
References related to SubTopic
Tran D, Cooke S, Illingworth PJ, Gardner DK. Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer. Hum Reprod. 2019,34(6):1011-1018. doi:10.1093/humrep/dez064 - ID:2693
Sawada Y, Sato T, Nagaya M, Saito C, Yoshihara H, Banno C, Matsumoto Y, Matsuda Y, Yoshikai K, Sawada T, Ukita N, Sugiura-Ogasawara M. Evaluation of artificial intelligence using time-lapse images of IVF embryos to predict live birth. Reprod Biomed Online. 2021 May 15:S1472-6483(21)00233-9. doi: 10.1016/j.rbmo.2021.05.002 - ID:3700
Daniella Gilboa, Michelle Perugini, Dan Nayot (2021) SESSION 15: DECISION-MAKING, AI AND ART. The International IVF Initiative - i3 https://ivfmeeting.com/collections/sessions/products/session-15-decision-making-ai-and-art - ID:3892
Marcos Meseguer,Maurizio Poli (2021) SESSION 20: THE FUTURE OF EMBRYOLOGY. TECHNOLOGICAL ADVANT-GARDES IN EMBRYO SELECTION The International IVF Initiative - i3 https://ivfmeeting.com/collections/sessions/products/session-20-the-future-of-embryology-technological-advant-gardes-in-embryo-selection - ID:3897
Dimitriadis I, Zaninovic N, Badiola AC, Bormann CL. Artificial intelligence in the embryology laboratory: a review. Reprod Biomed Online. 2021 Nov 12:S1472-6483(21)00557-5. doi: 10.1016/j.rbmo.2021.11.003 - ID:4180
Zaninovic N, Rosenwaks Z. Artificial intelligence in human in vitro fertilization and embryology. Fertil Steril. 2020 Nov,114(5):914-920. doi: 10.1016/j.fertnstert.2020.09.157 - ID:4181
Swain J, VerMilyea MT, Meseguer M, Ezcurra D, Fertility AI Forum Group. AI in the treatment of fertility: key considerations. J Assist Reprod Genet. 2020 Nov,37(11):2817-2824. doi: 10.1007/s10815-020-01950-z. Epub 2020 Sep 29. PMID: 32989510, PMCID: PMC7642046. - ID:4484
