The prospect of artificial intelligence to personalize assisted reproductive technology

Abstract

Infertility affects 1-in-6 couples, with repeated intensive cycles of assisted reproductive technology (ART) required by many to achieve a desired live birth. In ART, typically, clinicians and laboratory staff consider patient characteristics, previous treatment responses, and ongoing monitoring to determine treatment decisions. However, the reproducibility, weighting, and interpretation of these characteristics are contentious, and highly operator-dependent, resulting in considerable reliance on clinical experience. Artificial intelligence (AI) is ideally suited to handle, process, and analyze large, dynamic, temporal datasets with multiple intermediary outcomes that are generated during an ART cycle. Here, we review how AI has demonstrated potential for optimization and personalization of key steps in a reproducible manner, including: drug selection and dosing, cycle monitoring, induction of oocyte maturation, and selection of the most competent gametes and embryos, to improve the overall efficacy and safety of ART.

Revolutionizing Reproduction: The Impact of Robotics and Artificial Intelligence (AI) in Assisted Reproductive Technology: A Comprehensive Review

“…These innovations are poised to revolutionize ART procedures by enhancing efficiency, reproducibility, and consistency. Through automation facilitated by computerized systems and robotic technologies, existing processes are expected to be streamlined, costs reduced, and the accessibility and affordability of ART treatments increased [ 19 , 34 , 35 ]. One notable area where AI and robotics are exerting a significant impact is in embryo selection.…”

“…Historically reliant on subjective human judgment, embryo quality assessment now benefits from AI algorithms, enabling the objective analysis of embryo images. This facilitates standardized scoring and promises to improve the selection of viable embryos for transfer [ 35 ]. Furthermore, AI facilitates personalized ART treatments by considering individual patient factors such as age, medical history, and response to previous treatments, thereby enhancing the predictive capacity of IVF outcomes [ 19 ].…”

ChatGPT’s Efficacy in Queries Regarding Polycystic Ovary Syndrome and Treatment Strategies for Women Experiencing Infertility

“…It offers significant potential in aggregating and analyzing vast research data, thereby identifying effective treatment paradigms and novel therapeutic targets. Specifically, in the context of ovulation induction, it can play a pivotal role in investigating treatment protocols for individual patient profiles, thus maximizing the chances of successful pregnancy while minimizing the risks of treatment-related complications [ 12 , 13 ].…”