It’s a new dawn for older women looking to begin their motherhood journey in this later stage of life. It’s a known fact that a woman’s peak reproductive years are between the late teens and late 20s. By age 30, fertility (the ability to get pregnant) starts to decline. This decline happens faster once you reach your mid-30s. By 45, fertility has declined so much that getting pregnant naturally is unlikely. You begin life with a fixed number of eggs in your ovaries. The number of eggs decreases as you get older. Also, the remaining eggs are more likely to have abnormal chromosomes. And as you age, you are more likely to have developed health conditions that can affect fertility, such as uterine fibroids and endometriosis, and this is where IVF comes into play.
In Vitro Fertilisation (IVF) is one of several techniques available to help women with infertility have a baby. During IVF, an egg is removed from the woman’s ovaries and fertilised with sperm in a laboratory. The fertilised egg, called an embryo, is then returned to the woman’s womb or a surrogate, to grow and develop. The rates of live births per egg retrieval vary significantly based on the age of the person undergoing IVF (and other factors like the person’s specific fertility issues and the IVF clinic doing the treatment). Generally, IVF success rates decrease significantly as a person gets older hence the need for a surrogate sometimes.
The advent of artificial intelligence and machine learning revolutionizing the healthcare sector has optimized the opportunity for technological advancement to improve IVF success rates immensely regardless of age or any underlying factor. Artificial intelligence (AI) is revolutionizing infertility treatment, offering new ways to diagnose and treat infertility issues in older women. Here are some ways in which AI is positively influencing infertility issues in older women:

1. Predictive analytics: AI algorithms can analyze medical histories, including age, ovarian reserve, and previous fertility treatments to develop predictive models. These models can help doctors tailor treatment plans for individual patients, increasing the chances of a successful pregnancy.
2. Image analysis: AI algorithms can analyze ultrasound images, helping doctors to identify potential fertility issues and assess the likelihood of success with various treatments. This analysis can lead to reduced rates of failed treatments and an increased chance of successful pregnancies.
3. Developing new treatments: AI can analyze large data sets of genetic information to identify genes associated with infertility, potentially leading to the development of new treatments that target specific genes.
4. Personalized medicine: AI algorithms can help doctors to tailor treatments to individual patients based on their unique genetic and medical profiles. This approach can increase the likelihood of success with fertility treatments.
5. Improved efficiency: AI algorithms can automate many routine tasks, allowing doctors to focus on more complex issues. This increased efficiency can lead to reduced costs and improved patient outcomes.

Overall, AI is positively influencing infertility issues in older women by providing new tools for diagnosis, treatment, and personalized medicine. With further research and development, AI has the potential to significantly improve the chances of successful pregnancies in older women who plan to have babies.