AI could take the guesswork out of sperm selection for IVF

NCT ID NCT07163754

Not yet recruiting Diagnosis Sponsor: Instituto Valenciano de Infertilidad, IVI VALENCIA Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 26, 2026

Summary

This study tests an artificial intelligence algorithm called SiDTM v2.0 that helps embryologists choose the best sperm for a procedure called ICSI (a type of IVF). Currently, sperm selection is done by eye, which can vary between experts. The AI scores each sperm based on shape and movement, aiming to make the process more objective. Researchers will compare pregnancy and embryo development rates between AI-assisted and manual sperm selection in 100 couples.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: SiDTM v2.0 algorithm (artificial intelligence software for sperm selection)
What this could lead to: If successful, this AI tool could make sperm selection more consistent and potentially improve IVF outcomes, especially for couples with male infertility.
What could go wrong: This is a small, early-stage validation study (100 couples) comparing AI to manual selection. It may not show a clear benefit, and results may not apply to all fertility cases.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

male infertility testicular disorder

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

MALE FERTILITY SPERM PARAMETERS IN FERTILE AND INFERTILE MEN SPERM SELECTION TESTICULAR

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