Artificial intelligence at assisted reproductive technology

Abstract

Abstract Introduction: Artificial Intelligence (AI) is a strong technological wave providing the ability for a machine to perform cognitive functions; it is quickly gaining traction in assisted reproductive technology (ART). Aim and Methods: Discrepancies in results among reproductive centres still exist making the construction of new systems capable to foresee the desired outcome a necessity. We will describe the steps and gains to a possible AI system to predict IVF outcomes. Throughout this manuscript, we intend to review several clinical parameters for the evaluation of the fertilization process and describe their integration in an AI system, without providing details about the computer algorithm that will obviously depend on funding to be developed. Discussion: The proposed fertility treatment software covers the entire workflow of IVF treatments. An electronic system keeps the verification and matching data software on every step of the treatment (Anti-Mullerian hormone based ovarian stimulation, measurements of follicular diameter with 3D ultrasound, sperm test, oocyte collection, oocyte tracking, embryo selection, preimplantation genetic screening) and matching of sperm and egg samples of patient who is having IVF treatment. Conclusion: An AI ART software can have many advantages, namely: decrease interobserver variability, adjustment of drug doses in oocyte stimulation, decrease face-to-face medical contacts and thus increase medical and user productivity, better selection of sperm samples and evaluation of oocyte quality and embryo selection.