Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes

Recruiting N/A Interventional Study
Infertility in Vitro Fertilization (IVF) ART
No Placebo Group Every participant receives an active treatment — no one gets a placebo. Healthy Volunteers Welcome You do not need to have the condition being studied to take part.
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At a Glance
Age
18 – 89
Sex
Any
Study type
Interventional
Purpose
Other
Participants needed
4,000 (estimated)
Sponsor
Weill Medical College of Cornell University · Other
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About This Trial
The use of machine learning techniques using an artificial intelligence tool is proposed to analyze clinical data to predict best possible IVF/ART outcomes. This tool has been utilized to accurately predict embryo quality here at Cornell. Utilizing this tool to assess objective clinical findings and predict outcomes of assisted reproductive techniques is sought, with the ultimate goal of an automa…
Trial Locations
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Eligibility 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
Contacts

Nikica Zaninovic, PhD

646-962-2764

nizanin@med.cornell.edu

CONTACT

Rodriq Stubbs, NP

646-962-3276

res2011@med.cornell.edu

CONTACT