AI could help predict IVF outcomes and reduce doctor bias

NCT ID NCT04255615

Recruiting now Knowledge-focused Sponsor: Weill Medical College of Cornell University Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether an artificial intelligence tool can analyze 3D ultrasound images of the ovaries to better predict how well a woman will respond to fertility treatments like IVF. Researchers will enroll about 4,000 patients undergoing ovarian stimulation. The goal is to create an automated system that reduces human bias and improves accuracy in assessing ovarian reserve and treatment outcomes.

What this could mean

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

Active substance: Artificial intelligence tool to analyze 3D ultrasound images
What this could lead to: If successful, this could lead to a more accurate, automated way to assess ovarian reserve and predict IVF outcomes, potentially improving success rates and reducing bias in fertility care.
What could go wrong: This is an early-stage observational study, not a treatment trial. The AI tool may not prove more accurate than current methods, and results may not apply to all fertility patients.

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.

Arts syndrome infertility disorder

As listed by the trial registrant

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

ART IN VITRO FERTILIZATION (IVF) INFERTILITY

Contacts and locations

Locations

Weill Cornell Medicine
RECRUITING

New York, New York, 10021, United States

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