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NCT04255615 · ClinicalTrials.gov registry record · NA

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

A NA study of Infertility and ART, sponsored by Weill Medical College of Cornell University.

Recruiting
Registry status
NA
Development phase
4,000
Enrollment target
1
Study location

NCT04255615 is a NA study of Infertility and ART that is actively recruiting participants, run by Weill Medical College of Cornell University. The registered enrollment target is 4,000 participants, below the 7,535-participant average among 74 other Infertility trials with a reported enrollment target (47% lower). The trial reports 1 study location across 1 state.

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The verdict

NCT04255615, a NA study of Infertility and ART, is actively recruiting participants, sponsored by Weill Medical College of Cornell University.

RECRUITING
Registry status
NA
Development phase
4,000 participants
Enrollment target
1
Study location

Study 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. 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.

Interventions

  • OTHER AI to analyze 3 D ultrasound

Study Locations (1)

New York

  • Weill Cornell Medicine - New York

Trial Details

FieldValue
Enrollment Target 4,000 participants
Start Date 2020-02-12
Est. Completion 2029-09-30
Phase NA

What the Registry Record Tells You About NCT04255615

The ClinicalTrials.gov registry entry for NCT04255615 describes a study currently listed as recruiting, categorized as NA. The registered enrollment target is 4,000 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 7,535-participant average among 74 other Infertility trials with a reported enrollment target (47% lower). The listed sponsor is Weill Medical College of Cornell University, which has 701 total studies on file at ClinicalTrials.gov.

The record links to 3 conditions, with Infertility appearing as the primary indexed condition, and to 1 intervention - of which AI to analyze 3 D ultrasound is the first listed.

NCT04255615 reports 1 study location spanning 1 distinct geographic area - top geographies include New York.

Frequently Asked Questions

What is clinical trial NCT04255615 about?

NCT04255615 is a clinical study titled "Use of Artificial Intelligence for Clinical Assessment of Assisted Reproductive Techniques and IVF Outcomes". 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...

What is the current status of trial NCT04255615?

This trial is currently recruiting. It is a NA study. The enrollment target is 4,000 participants. The study started on 2020-02-12. Estimated completion is 2029-09-30.

What conditions does trial NCT04255615 study?

This clinical trial studies the following conditions: Infertility, ART, in Vitro Fertilization (IVF).

What interventions are being tested in trial NCT04255615?

The interventions under investigation include: AI to analyze 3 D ultrasound (OTHER).

Who is sponsoring clinical trial NCT04255615?

This trial is sponsored by Weill Medical College of Cornell University, which has 701 total clinical trials registered on ClinicalTrials.gov.

Where is trial NCT04255615 being conducted?

This trial has 1 study location across New York. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.

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Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

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