Over the past years, the assisted reproductive technologies (ARTs) have been accompanied
by constant innovations. For instance, intracytoplasmic sperm injection (ICSI), time-lapse …

Embryo evaluation and selection embody the aggregate manifestation of the entire in vitro
fertilization (IVF) process. It aims to choose the “best” embryos from the larger cohort of …

Artificial intelligence (AI) has been proposed as a potential tool to help address many of the
existing problems related with empirical or subjective assessments of clinical and …

Artificial intelligence (AI) techniques are starting to be used in IVF, in particular for selecting
which embryos to transfer to the woman. AI has the potential to process complex data sets …

Objective To describe a computer algorithm designed for in vitro fertilization (IVF)
management and to assess the algorithm's accuracy in the day-to-day decision making …

Predicting the outcome of in-vitro fertilization (IVF) treatment is an extremely semantic issue
in reproductive medicine. Discrepancies in results among reproductive centres still exist …

In recent years, the amount of data produced in the field of ART has increased exponentially.
The diversity of data is large, ranging from videos to tabular data. At the same time, artificial …

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 …

One of the most relevant aspects in assisted reproduction technology is the possibility of
characterizing and identifying the most viable oocytes or embryos. In most cases …

Sixteen artificial intelligence (AI) and machine learning (ML) approaches were reported at
the 2018 annual congresses of the American Society for Reproductive Biology (9) and …