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Artificial Intelligence

AI Analysis of 3D Ultrasound for IVF Outcomes (AI in ART Trial)

N/A
Waitlist Available
Led By Nikica Zaninovic, PHD
Research Sponsored by Weill Medical College of Cornell University
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up approximately 6- 8 weeks
Awards & highlights

Summary

This trial proposes using AI to predict best IVF/ART outcomes. 3D sonography images of the ovary would be used to objectively assess baseline ovarian reserve before treatment.

Who is the study for?
This trial is for patients undergoing ovarian stimulation treatments, including those aiming for fresh embryo transfer and cryopreservation of oocytes or embryos. Healthy male partners of female subjects who consent can also participate.
What is being tested?
The study tests an AI tool that analyzes 3D ultrasound images to predict the best IVF/ART outcomes. It aims to create an automated system that reduces physician bias by objectively assessing baseline ovarian reserve at the start of ART cycles.
What are the potential side effects?
Since this trial involves data analysis using AI without direct medical interventions, there are no typical side effects associated with drugs or surgical procedures.

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~approximately 6- 8 weeks
This trial's timeline: 3 weeks for screening, Varies for treatment, and approximately 6- 8 weeks for reporting.

Treatment Details

Study Objectives

Study objectives can provide a clearer picture of what you can expect from a treatment.
Primary study objectives
Number of baseline antral follicle count
Number of retrieved oocytes
Secondary study objectives
Number of clinical intrauterine pregnancies IVF
Number of clinical intrauterine pregnancies OI
Number of mature oocytes
+1 more

Trial Design

1Treatment groups
Experimental Treatment
Group I: 3D Ultrasound with AIExperimental Treatment1 Intervention
AI tool to assess antral follicle count using 3 D Ultrasound

Find a Location

Who is running the clinical trial?

Weill Medical College of Cornell UniversityLead Sponsor
1,077 Previous Clinical Trials
1,316,667 Total Patients Enrolled
24 Trials studying Infertility
4,515 Patients Enrolled for Infertility
Nikica Zaninovic, PHDPrincipal InvestigatorWeill Medical College of Cornell University

Media Library

AI to analyze 3 D ultrasound (Artificial Intelligence) Clinical Trial Eligibility Overview. Trial Name: NCT04255615 — N/A
Infertility Research Study Groups: 3D Ultrasound with AI
Infertility Clinical Trial 2023: AI to analyze 3 D ultrasound Highlights & Side Effects. Trial Name: NCT04255615 — N/A
AI to analyze 3 D ultrasound (Artificial Intelligence) 2023 Treatment Timeline for Medical Study. Trial Name: NCT04255615 — N/A
~271 spots leftby Jan 2025