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Algorithm Finds Sperm In Infertile Men Faster and More Accurately Than Doctors

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The goal of the study was to determine whether AI could speed up the process of identifying sperm for Intracytoplasmic Sperm Injection treatment.

Credit: Skynews

A new artificial intelligence (AI) tool can identify sperm in severely infertile men in seconds compared to the hours it takes scientists, according to results presented today (Tuesday) at the 39th annual meeting of the European Society of Human Reproduction and Embryology (ESHRE).

The study authors say the algorithm they have developed brings hope to men who want a biological child but have no sperm in their semen.

Currently, these patients must undergo a procedure where a portion of their testes is removed to help them become fathers. Embryologists extract sperm manually from this biopsy sample to fertilise the partner's eggs through Intracytoplasmic Sperm Injection (ICSI) treatment. It can take up to six hours to find and isolate sperm in human tissue, which can undermine the embryologist's ability to identify sperm because of mental and physical fatigue.

Data from this new study by Australian experts show trained AI can spare clinicians this arduous process.

From European Society of Human Reproduction and Embryology
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