MedTrace Logo

Convolutional Neural Network in Ovarian Follicle Identification

NCT04545918 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 80

Last updated 2021-05-07

No results posted yet for this study

Summary

A prospective cohort trial studying patients with infertility undergoing an ovarian stimulation with exogenous gonadotropins. Ovarian monitoring will be performed with a combination of transvaginal ultrasound and 2 dimensional human measurements of the follicle development on the right and left ovaries along with SonoAVC. Human and SonoAVC measurements will then be compared to mask region-based convolutional neural network in follicle identification and measurement during during the ovarian stimulation.

Conditions

  • Infertility, Female
  • Ovarian Follicular Cyst

Interventions

DEVICE

Follicle Clarity

Mask Region-based Convolutional Neural Network in Ultrasound Follicle Identification

Sponsors & Collaborators

  • Cycle Clarity

    lead INDUSTRY

Principal Investigators

  • John A. Schnorr, MD · Cycle Clarity, Founder

Eligibility

Min Age
21 Years
Max Age
42 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-02-01
Primary Completion
2021-05-10
Completion
2021-05-20
FDA Device
Yes

Countries

  • United States

Study Locations

More Related Trials

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04545918 on ClinicalTrials.gov