Study: AI's abilities can increase the chances of success of artificial insemination

Researchers at the University of Imperial College London found that artificial intelligence could play an important role in increasing the success rate of artificial insemination. The study, published in the journal Comunications, said that “interpretative artificial intelligence” doctors can help doctors improve treatment decisions, especially with regard to the timing of hormones that injected the eggs for fertilization. Artificial insemination is a common way to help those with reproductive problems. During artificial insemination, doctors use ultrasound tests to monitor the size of the follicles (small bags in the ovaries containing eggs) to determine the date of a hormonal injection, known as the ‘stimulus’ to prepare eggs for the collection, and to ensure that they are ready to fertilize. IVF and artificial intelligence The stimulus time is an important decision; Because it works less effectively if the follicles are very small or very large at the time of giving. After collecting and fertilizing the eggs with sperm, the fetus is selected and implanted in the uterus, in the hope that it will lead to pregnancy. The researchers used the techniques of ‘interpretable artificial intelligence’ – a kind of artificial intelligence that enables people to understand how they work – to analyze data retroactively for more than 19 thousand patients who have completed artificial insemination, and examine the sizes of follicles associated with the improvement of ripe eggs, leading to the birth of children. The researchers studied the size of the vesicles during the days before the day of the stimulation injection, as well as on the same day. They found that the vesicles, which ranged between 13-18 mm, were linked to an increase in the number of ripe eggs collected, which led to better clinical results. Currently, doctors use ultrasound scanners to measure the size of the largest (larger) follicles, and they usually give the stimulating injection at the threshold of two or three follicles larger than 17 or 18 mm. But the study states that maximizing the percentage of follicles, medium -sized, the number of adult eggs that have been restored can improve and improve the birth rates of children. Artificial insemination -data analysis on another side provides artificial insemination very rich data, so it is difficult for doctors to utilize it fully when making treatment decisions for their patients. The study showed that artificial intelligence methods are perfectly suited to analyzing complex IVF. In the future, artificial intelligence can be used to give accurate recommendations to improve the decision -making process, and to assign the treatment so that doctors can give each couple the best opportunity to have a child. The results have also indicated that the stimulation of the ovaries can lead to an increase in the number of vesicles greater from 18 mm for a very long time, which can cause the levels of the hormone progesterone early, which can negatively affect the results of the treatment, and reduce the chance of the fetus in the womb. Artificial intelligence is expected to help improve artificial insemination protocols, as treatment can be adjusted based on accurate data associated with the size of the vesicles, which increases the effectiveness of treatment, and patients provide greater opportunities for birth. The study also showed the possibility of using artificial intelligence to give accurate recommendations on the timing of giving stimulus, based on accurate data on the size of the vesicles. The researchers believe that this approach can significantly improve the results of treatment and improve pregnancy.