Using AI to improve IVF and ART outcomes
The Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes
This study is testing whether using artificial intelligence can help doctors better predict the success of IVF treatments by analyzing patient data and ultrasound images.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 4000 (estimated) |
| Ages | 18 Years to 89 Years |
| Sex | All |
| Sponsor | Weill Medical College of Cornell University Academic / other |
| Locations | 1 site (New York, New York) |
| Trial ID | NCT04255615 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates include individuals undergoing ovarian stimulation for IVF or assisted reproductive techniques, along with their healthy male partners.
Not a fit: Patients who are not undergoing ART cycles or those without male partners may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to improved IVF success rates and more personalized treatment plans for patients experiencing infertility.
How similar studies have performed: Other studies have shown promise in using AI for clinical assessments, suggesting potential for success in this novel application.
Eligibility criteria
Show full inclusion / exclusion criteria
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 this trial is running
New York, New York
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.