Using AI to improve IVF and ART outcomes

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study aims to utilize artificial intelligence to analyze clinical data and predict the outcomes of assisted reproductive techniques, specifically in vitro fertilization (IVF). By employing machine learning techniques, the study will assess baseline ovarian reserve through 3D transvaginal ultrasound imaging to objectively identify antral follicle counts. The goal is to develop an automated tool that reduces physician bias and enhances the accuracy of clinical assessments. Data will be collected from participants undergoing ovarian stimulation, including medical history and treatment outcomes.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* All patients undergoing ovarian stimulation (including OI and IVF cycles)
* Treatment for fresh embryo transfer and cryopreservation of oocytes or embryos upfront
* Healthy male partners of the female subjects who agree to be part of the study.

Exclusion Criteria:

* None

Where it's running

• Weill Cornell Medicine
  New York, New York, United States Recruiting

Study contacts

• Principal investigator: Nikica Zaninovic, PHD — Weill Medical College of Cornell University
• Study coordinator: Nikica Zaninovic, PhD
• Email: nizanin@med.cornell.edu
• Phone: 646-962-2764

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Other studies for the same condition or treatment. Recruiting studies are listed first.

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• Ultra-Long GnRH-a Pretreatment Before Frozen Embryo Transfer for Deep Infiltrating Endometriosis

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.