ABSTRACT

The term implantation failure refers to cases in which the embryo does not invade and/or human chorionic gonadotropin (hCG) production is not detected at all in the early period and cases in which the gestational sac does not form despite the detection of hCG production in the late period. Although there is no precise definition of recurrent implantation failure (RIF), the most commonly used definition is the failure to achieve clinical pregnancy after at least three consecutive in vitro fertilisation (IVF) procedures and at least four good quality embryo transfers under the age of 40. In this study, we aimed to discuss the factors that cause the formation of RIF and the treatment methods developed with the latest artificial intelligence technology to improve the quality of invasion. With the developing technology, there has been an increase in the use of artificial intelligence and developments in IVF methods applied against RIF. IVF applications include microchip treatment method, artificial intrauterine application, intracytoplasmic morphologically selected sperm injection, blastocyst transfer method, endometrial receptivity analysis etc. Fairtility CHLOE™ artificial intelligence method, which is promising with the development of artificial intelligence, supports physicians in the early selection of the embryos with the highest retention potential and the highest quality embryos by examining the embryoscope in an environment that mimics the uterus. Innovative approaches in the treatment of recurrent implantation disorders can minimise complications in the mother and embryo and achieve pregnancy in a short time.