Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes
NCT04255615
This study is recruiting at 1 US site in 1 state, according to its ClinicalTrials.gov record last updated .
Summary
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.
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Infertility
- in Vitro Fertilization (IVF)
- ART
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Not applicable
- Ages
- 18 to 89 years
- Sex
- All
- Healthy volunteers
- Accepted
- Sponsor
- Weill Medical College of Cornell University
- Last updated on ClinicalTrials.gov
- December 24, 2025
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
New York · 1
- Weill Cornell Medicine · New York, NY
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.