New Frontiers in Embryo Selection
Glatstein et al, 2023
Infertility affects roughly one in six couples worldwide, and as a result, the use of assisted reproductive technologies like in vitro fertilization (IVF) is increasing. Traditional methods for choosing the best embryo for transfer are time-consuming, subjective, and can vary widely between experts.
Artificial intelligence (AI) offers a promising solution to the problem of subjectivity by automating and standardizing embryo assessment, while making it faster and perhaps more reliable. This shift could potentially improve pregnancy outcomes.
AI tools are already being developed to measure the performance of embryologists, maintain quality in laboratory environments, and predict key factors like whether an embryo is genetically normal or likely to lead to a successful pregnancy. As AI continues to mature, it is expected to become a standard part of IVF.
This review focuses on how AI is transforming embryo evaluation and selection
