AIMC Topic: Semen
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Improving outcomes of assisted reproductive technologies using artificial intelligence for sperm selection.
Fertility and sterility
Jun 10, 2023
Within the field of assisted reproductive technology, artificial intelligence has become an attractive tool for potentially improving success rates. Recently, artificial intelligence-based tools for sperm evaluation and selection during intracytoplas...
Structures of sperm flagellar doublet microtubules expand the genetic spectrum of male infertility.
Cell
Jun 8, 2023
Sperm motility is crucial for successful fertilization. Highly decorated doublet microtubules (DMTs) form the sperm tail skeleton, which propels the movement of spermatozoa. Using cryo-electron microscopy (cryo-EM) and artificial intelligence (AI)-ba...
Artificial intelligence for sperm selection-a systematic review.
Fertility and sterility
May 24, 2023
Despite the increasing number of assisted reproductive technologies based treatments being performed worldwide, there has been little improvement in fertilization and pregnancy outcomes. Male infertility is a major contributing factor, and sperm eval...
Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade.
Fertility and sterility
May 19, 2023
The integration of artificial intelligence (AI) and deep learning algorithms into medical care has been the focus of development over the last decade, particularly in the field of assisted reproductive technologies and in vitro fertilization (IVF). W...
New horizons in human sperm selection for assisted reproduction.
Frontiers in endocrinology
Feb 22, 2023
Male infertility is a commonly encountered pathology that is estimated to be a contributory factor in approximately 50% of couples seeking recourse to assisted reproductive technologies. Upon clinical presentation, such males are commonly subjected t...
New frontiers in embryo selection.
Journal of assisted reproduction and genetics
Jan 7, 2023
Human infertility is a major global public health issue estimated to affect one out of six couples, while the number of assisted reproduction cycles grows impressively year over year. Efforts to alleviate infertility using advanced technology are gai...
Advancements in the future of automating micromanipulation techniques in the IVF laboratory using deep convolutional neural networks.
Journal of assisted reproduction and genetics
Dec 31, 2022
PURPOSE: To determine if deep learning artificial intelligence algorithms can be used to accurately identify key morphologic landmarks on oocytes and cleavage stage embryo images for micromanipulation procedures such as intracytoplasmic sperm injecti...
Looking with new eyes: advanced microscopy and artificial intelligence in reproductive medicine.
Journal of assisted reproduction and genetics
Dec 19, 2022
Microscopy has long played a pivotal role in the field of assisted reproductive technology (ART). The advent of artificial intelligence (AI) has opened the door for new approaches to sperm and oocyte assessment and selection, with the potential for i...
Making and selecting the best embryo in the laboratory.
Fertility and sterility
Dec 13, 2022
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatically, leading to higher implantation rates. This has led to a notable shift to single blastocyst transfer and the ensuing elimination of high order mu...
Sperm-cell DNA fragmentation prediction using label-free quantitative phase imaging and deep learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
Nov 23, 2022
In intracytoplasmic sperm injection (ICSI), a single sperm cell is selected and injected into an egg. The quality of the chosen sperm and specifically its DNA fragmentation have a significant effect on the fertilization success rate. However, there i...
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