Convolutional Neural Network in Ovarian Follicle Identification
Assessing a Mask Region-based Convolutional Neural Network in Follicle Identification and Measurement During Ovarian Stimulation
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: John A Schnorr, MD
- Phone Number: 843-883-6200
- Email: john.schnorr@cycleclarity.com
Study Contact Backup
- Name: Susan R. Schnorr
- Phone Number: 843-883-6200
- Email: susan.schnorr@cycleclarity.com
Study Locations
-
-
South Carolina
-
Mount Pleasant, South Carolina, United States, 29464
- Recruiting
- Coastal Fertility Specialists
-
Contact:
- Michael J Slowey
- Phone Number: 843-883-5800
- Email: michael.slowey@coastalfertility.us
-
Contact:
- Heather Cook, MD
- Phone Number: 8438835800
- Email: heather.cook@coastalfertility.us
-
Principal Investigator:
- Michael J Slowey, MD
-
Sub-Investigator:
- Heather M Cook, MD
-
Sub-Investigator:
- Jessica McLaughlin, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Infertile women ages 21-42 years old undergoing ovarian hyperstimulation as part of the treatment care.
Women with at least one ovary visible with transvaginal ultrasound. Women with at least one follicle 10 mm or greater in average diameter.
Exclusion Criteria:
- Women less than 21 years of age or greater than 42 years of age. Women without a visible ovary by transvaginal ultrasound. Women without a follicle at least 10 mm in average diameter
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Infertile Female
90 female patients with infertility undergoing an ovarian stimulation with use of exogenous gonadotropins.
|
Mask Region-based Convolutional Neural Network in Ultrasound Follicle Identification
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Median size (mm) of ovarian follicles in CCAI compared to SonoAVC
Time Frame: 1 month
|
Comparison of the mean size in mm of Cycle Clarity's Artificial Intelligence software (CCAI) compared with GE SonoAVC
|
1 month
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Number of ovarian follicles in CCAI compared to Sono
Time Frame: 1 month
|
Comparison of the number of ovarian follicles with Cycle Clarity's Artificial Intelligence software (CCAI) compared with GE SonoAVC
|
1 month
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Chair: John A. Schnorr, MD, Cycle Clarity, Founder
Publications and helpful links
General Publications
- Al-Inany HG, Youssef MA, Ayeleke RO, Brown J, Lam WS, Broekmans FJ. Gonadotrophin-releasing hormone antagonists for assisted reproductive technology. Cochrane Database Syst Rev. 2016 Apr 29;4(4):CD001750. doi: 10.1002/14651858.CD001750.pub4.
- Gordon K, Hodgen GD. GnRH analogues in ovarian stimulation. Ann N Y Acad Sci. 1991;626:238-49. doi: 10.1111/j.1749-6632.1991.tb37919.x. No abstract available.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ANTICIPATED)
Primary Completion
Study Completion (ANTICIPATED)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ACTUAL)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- CC2020-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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