According to reports, Artificial intelligence has already been proven to help find cavities, detect cancer, and answer medical queries. It may assist fertility specialists in selecting the best embryo for in-vitro fertilization (IVF).
The CDC reports that one in five married American women may experience infertility within a year of attempting to conceive, prompting many to seek out IVF. Between one and two percent of all newborns in the nation are the result of fertility therapy.
However, the American Society for Reproductive Medicine reports that the treatment costs more than $12,000 for each session on average. Most women need a few tries before they succeed.
AIVF, headquartered in Tel Aviv, Israel, develops reproductive technologies with the goal of increasing success rates.
The artificial intelligence (AI) behind its EMA embryo assessment program streamlines the procedure by processing massive quantities of data surpassing the human eye.
The Tel Aviv-based corporation that pioneered the technology in Israel claims that the United States could very soon adopt the AI technology. This is in addition to its widespread usage in South America, Asia, and Europe.
Reports show that Artificial intelligence has been used to improve conception rates before. Scientists in California only last month created an algorithm for a “sperm health test” that can scan swimmers for form and movement to choose the healthiest sperm for fertilizing an egg.
Fox News Digital spoke with Dr. Daniella Gilboa, co-founder and CEO of AIVF and an embryologist who emphasized the importance of embryo selection as part of the IVF procedure.
Dr. Gilboa emphasized that the algorithm was not created to replace physicians, stressing that the ultimate decision must always be made by a person.
She continued by saying the technology will arrive in the United States very soon.’
If the program helps people conceive more rapidly, they may incur less financial losses.
According to Dr. Gilboa, AVIF reduces the average number of IVF sessions from five to down to 2.
