kjyworld.blog

https://www.scientificamerican.com/article/can-the-chances-of-a-successful-ivf-pregnancy-be-improved-with-ai

How is AI being used in IVF today?

AI is used to assess whether a gamete’s morphology will lead to successful fertilization or to assess embryos for specific appearances and traits such as intellectual disabilities. Some training models are currently being assessed to see whether they can accurately predict the success rates of whether a given sperm and egg will result in a successful pregnancy.

What information does AI analyze during the IVF process?

AI scans traits of an embryo and goes into analysis as to whether or not an embryo’s specific traits can affect the success of a pregnancy. Typically, an embryologist inspects embryos and assesses their qualities.

Why might AI outperform traditional embryo selection methods?

AI could assist in establishing clearer predictions on the success of a pregnancy by analyzing large sources of data and creating a general model. Quoting from the article,

“By combining large datasets from sources such as HFEA, SART, and the clinical literature, we can model how many eggs, blastocysts, euploid embryos, and ultimately live births a patient is realistically likely to get.”

What limitations do researchers still acknowledge?

Our understanding of AI in the field of IVF pregnancy is limited by constantly-changing data procedures between different countries. Reproductive technology itself is a very underdeveloped medical practice due to the small minority that are able to afford the procedure itself. Another limitation is that maintaining patient data sets to train AI would cost large amounts of money to keep secure from data breaches. Health data breaches both undermine patient privacy and cost the healthcare industry billions.

What could AI mean for the future of fertility medicine?

Various tests and experiments are being held to evaluate the effectiveness of using AI in fertility medicine. Some results show a promising future towards utilizing AI in artificial pregnancies, but the current truth is that there is a lack of evidence showing that applying AI algorithms gives us satisfactory results.