Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Folliculogenesis01:20

Folliculogenesis

2.1K
Folliculogenesis is the development of ovarian follicles, the specialized structures within the ovarian cortex where oogenesis, or egg development, occurs. This process is essential for female reproductive health and begins during fetal development when primordial follicles are formed. Each primordial follicle comprises a primary oocyte in the center, surrounded by a single layer of squamous pre-granulosa cells. These follicles remain dormant in late prophase I of meiosis until triggered by...
2.1K
Hormonal Control of the Ovarian Cycle01:30

Hormonal Control of the Ovarian Cycle

6.4K
The ovarian cycle is meticulously regulated by the hypothalamic-pituitary-gonadal axis. This cycle orchestrates the release of a mature oocyte, essential for reproduction.
Before puberty, the hypothalamus releases GnRH in a low frequency, low amplitude pulsatile manner. This along with the immature hypothalamic-pituitary-gonadal axis activity, results in low estrogen levels and the absence of a fully functional ovarian cycle.  At puberty, GnRH secretion increases in both frequency and...
6.4K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Redefining testosterone reference ranges for adult females.

Journal of endocrinological investigation·2026
Same author

Integrating mechanistic models to decode the GnRH pulse generator in female mice.

Journal of molecular endocrinology·2026
Same author

The role of amygdala GABA neurons in controlling stress and reproduction in female mice.

Nature communications·2026
Same author

Ovulatory Recovery following weight loss in women with polycystic ovary syndrome and obesity: a post hoc analysis of the BAMBINI randomised controlled trial.

Human reproduction (Oxford, England)·2026
Same author

Pharmacological interventions to improve bone density in functional hypothalamic amenorrhea: a systematic review and network meta-analysis of randomized clinical trials.

The Journal of clinical endocrinology and metabolism·2026
Same author

Clinical Practice Patterns in Bone Health Assessment and Management in Endogenous Cushing's Syndrome.

Clinical endocrinology·2025
Same journal

The Extra X Chromosome and Autoimmune Susceptibility in Klinefelter Syndrome.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Pathophysiology-Based Classification of Male Infertility: Evidence from an 800-patient Prospective Cohort.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Parathyroid Carcinoma: From Molecular Pathogenesis to Multidisciplinary Management.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Genetic and Clinical Factors Associated With Metformin Plasma Concentrations Following an Acute Metformin Challenge.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Continuous glucose monitoring-derived time in range is associated with changes in arterial stiffness in type 2 diabetes.

The Journal of clinical endocrinology and metabolism·2026
Same journal

Association of the Primary Aldosteronism Severity Classification with Lateralization and Treatment Outcomes.

The Journal of clinical endocrinology and metabolism·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 2026

Gene Expression Analyses in Human Follicles
09:09

Gene Expression Analyses in Human Follicles

Published on: February 17, 2023

1.5K

Modelling Follicular Growth During Ovarian Stimulation Using Agent-based Artificial Intelligence.

Artsiom Hramyka1,2, Thomas W Kelsey1, Simon Hanassab3,4,5

  • 1School of Computer Science, University of St Andrews, St Andrews KY16 9SX, UK.

The Journal of Clinical Endocrinology and Metabolism
|September 29, 2025
PubMed
Summary
This summary is machine-generated.

This study models individual ovarian follicle growth rates during fertility treatments using artificial intelligence. The AI model accurately predicts follicle size, potentially reducing the need for multiple monitoring scans.

Keywords:
artificial intelligencefollicle growthmachine learningovarian stimulationreproductive endocrinologyultrasound

More Related Videos

Ovarian Tissue Culture to Visualize Phenomena in Mouse Ovary
04:30

Ovarian Tissue Culture to Visualize Phenomena in Mouse Ovary

Published on: June 19, 2018

14.5K
A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.1K

Related Experiment Videos

Last Updated: Jan 16, 2026

Gene Expression Analyses in Human Follicles
09:09

Gene Expression Analyses in Human Follicles

Published on: February 17, 2023

1.5K
Ovarian Tissue Culture to Visualize Phenomena in Mouse Ovary
04:30

Ovarian Tissue Culture to Visualize Phenomena in Mouse Ovary

Published on: June 19, 2018

14.5K
A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes
10:04

A Neural Network-Based Identification of Developmentally Competent or Incompetent Mouse Fully-Grown Oocytes

Published on: March 3, 2018

7.1K

Area of Science:

  • Reproductive Endocrinology
  • Medical Artificial Intelligence
  • Ovarian Physiology

Background:

  • Ovarian stimulation is crucial in medically assisted reproduction (MAR), using follicle-stimulating hormone (FSH) to promote multi-follicular growth.
  • Limited data exist on individual follicular growth rates during fertility treatments.
  • Understanding these dynamics is key to optimizing MAR protocols.

Purpose of the Study:

  • To develop an agent-based artificial intelligence (AI) model to predict individual ovarian follicle growth rates during ovarian stimulation in MAR cycles.
  • To enable prediction of final follicle sizes based on early growth patterns.

Main Methods:

  • An observational cohort study involving 11,572 patients across 11 European assisted conception clinics (2005-2023).
  • Predictive modeling utilized 39,698 scans and 434,082 follicles from 12,950 MAR cycles.
  • Daily growth rates of individual follicles were modeled to predict end-of-stimulation sizes.

Main Results:

  • The mean follicle growth rate was 1.35mm/day, significantly associated with antral follicle count and FSH dose changes (p < 0.001).
  • The AI model predicted follicle sizes within 2mm with 75.0% accuracy using the first scan, increasing to 80.1% with two scans.
  • Model performance was consistent across clinics, with a mean accuracy of 78.0% in random splits and 77.1% in cross-validation.

Conclusions:

  • Advanced AI techniques enhance the understanding of follicle growth dynamics during ovarian stimulation.
  • The developed model reliably predicts follicle size profiles, potentially optimizing monitoring frequency.
  • This predictive capability can aid in managing ovarian stimulation protocols in MAR.