The goal of an IVF cycle is a healthy live-born baby. Despite the many advances in the field
of assisted reproductive technologies, accurately predicting the outcome of an IVF cycle has …

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 …

Despite the increasing number of assisted reproductive technologies based treatments
being performed worldwide, there has been little improvement in fertilization and pregnancy …

The success of deep learning in identifying complex patterns exceeding human intuition
comes at the cost of interpretability. Non-linear entanglement of image features makes deep …

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 …

Purpose To determine if creating voting ensembles combining convolutional neural
networks (CNN), support vector machine (SVM), and multi-layer neural networks (NN) …

Artificial intelligence (AI) has become a ubiquitous term, encompassing a broad range of
technologies, software, interfaces, and algorithms utilized in big data analytics to forecast …

Purpose To determine whether convolutional neural networks (CNN) can be used to
accurately ascertain the patient identity (ID) of cleavage and blastocyst stage embryos …

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 …

Sperm morphology analysis is crucial in infertility diagnosis and treatment. However, current
clinical analytical methods use either chemical stains that render cells unusable for …