Actively Recruiting
Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes
Led by Weill Medical College of Cornell University · Updated on 2025-12-24
4000
Participants Needed
1
Research Sites
502 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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 automated tool to reduce implicit physician bias. Within this goal, using this tool to objectively and accurately assess baseline ovarian reserve at the start of an ART cycle is proposed, using 3D sonography to image the ovary and artificial intelligence tool to objectively identify baseline antral follicle counts.
CONDITIONS
Official Title
Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients undergoing ovarian stimulation including ovulation induction and IVF cycles
- Treatment includes fresh embryo transfer and cryopreservation of oocytes or embryos
- Healthy male partners of female participants who agree to join the study
You will not qualify if you...
- None
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Weill Cornell Medicine
New York, New York, United States, 10021
Actively Recruiting
Research Team
N
Nikica Zaninovic, PhD
CONTACT
R
Rodriq Stubbs, NP
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
OTHER
Number of Arms
1
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