Clin2
NCT06872294Possibly a fitRecruiting

Predicting IVF success with AI

Autoimmune Diseases

Part of Immune system & allergy clinical trials.

This study looks at factors that might predict success in IVF. If you're under 43, using fresh semen, and have no major uterine or genetic issues, this trial may help researchers learn what leads to a better chance of pregnancy.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
200 people
Ages
18 years to 43 years
Study type
Observational

Who can take part

  • You are under 43 years old.
  • You will be using a fresh semen sample (not frozen) in your IVF cycle.
  • After the lab prepares the semen, there will be at least 1 million moving sperm available.
  • You do not have any known issues with your uterus (like fibroids or shape problems).
  • You have not been diagnosed with chromosome or genetic abnormalities.
  • You have tested negative for Hepatitis B, Hepatitis C, HIV, and syphilis.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT07456397Recruiting
AI to predict sperm success in IVF

This trial tests a new AI system that analyzes sperm to predict how well they might work in fertility treatments like IVF or ICSI. It aims to help doctors choose the best sperm for a successful pregnancy.

Barcelona, Barcelona
NCT06518928Recruiting
AI sperm selection for IVF with ICSI

This trial tests an artificial intelligence system that helps select the best sperm for use during IVF with ICSI. The goal is to see if this improves fertilization, embryo development, and reduces early pregnancy loss.

Las Vegas, Nevada
NCT07187934Recruiting
AI tool to rank embryos for IVF patients

This trial tests an artificial intelligence tool that automatically ranks embryos to help doctors choose the best one for transfer. It is for people doing an IVF or ICSI cycle with a "freeze-all" strategy, meaning all embryos are frozen for later use.

Brussels, Brussels Capital
NCT06717802Recruiting
AI to predict when the womb is ready for IVF

This study uses artificial intelligence to find the best time to transfer an embryo during IVF. It may help people who have had up to 3 unsuccessful transfers before.

Budapest
NCT07017972Recruiting
AI study on embryo quality using IVF data

This study collects images and data from eggs or embryos during standard IVF or egg-freezing to help develop an artificial intelligence (AI) model that can predict embryo quality. It does not require any extra procedures for you.

Stamford, Connecticut
NCT06539104Recruiting
Artificial intelligence to improve egg and embryo testing in IVF

This trial uses artificial intelligence to assess the quality of eggs and embryos during IVF. It aims to help doctors select the best embryos for transfer, potentially increasing the chance of a successful pregnancy.

Prague

Hear when a new Autoimmune Diseases trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.