New Infertility Technology: This technology, developed at Columbia University, has succeeded in finding sperm even in men who were previously told that they would never be able to become fathers.

How is artificial intelligence treating male infertility?

How AI Technology Is Helping Treat Male Infertility: Millions of couples around the world struggle to have children. In many cases, the problem is found in men, where the body produces very few or no sperm at all. Such a condition is medically considered severe male infertility. But now, a new technology developed with the help of artificial intelligence has emerged as a ray of hope for such couples.

Technology has made things easier.

Developed at Columbia University in the US, this technology has successfully detected sperm even in men who were previously told they would never be able to father a child. The system uses highly advanced technology and machine-based analysis to detect hidden sperm that are invisible to normal tests.

What is the matter?

According to a BBC Urdu report, a couple had been trying to have children for years. Tests revealed that the man had a genetic condition that left his semen devoid of sperm cells. Doctors had predicted their chances were slim. However, new technology allowed the discovery of a rare sperm sample, making conception possible.

What do experts say?

According to experts, this technology analyzes thousands of images at extremely high speeds. Where human eyes cannot detect sperm, a machine-based system can identify them. A specialized robotic process then separates the sperm so they can be safely used. Experts involved in the research say that this technology has already shown success in many cases where hope had previously been lost. According to preliminary data, sperm was successfully found in approximately 30 percent of those who were considered completely infertile.

Research is still needed.

However, experts also agree that this technology requires further research on a larger scale. It will be essential to understand its long-term consequences and safety. Furthermore, questions related to privacy and sensitive medical information may also play a key role in the future.