Jove
Visualize
Contact Us

Related Concept Videos

In Vitro Fertilization01:24

In Vitro Fertilization

239
In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
The IVF process begins with ovarian stimulation, during which reproductive endocrinologists prescribe hormonal medications to stimulate the ovaries to produce multiple eggs instead of the single...
239

You might also read

Related Articles

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

Sort by
Same author

Expert-Annotated Optical Microscopy Images of Human Sperm for Detection and DNA Fragmentation Assessment.

Scientific data·2025
Same author

Quantifying neonatal transport deficiencies: an integrated framework for weighting core KPIs and ranking challenges in resource-limited settings.

European journal of pediatrics·2025
Same author

Predicting mortality across hospital departments: A machine learning approach for various health care-associated infections.

American journal of infection control·2025
Same author

AI-powered diagnosis of ovarian conditions: insights from a newly introduced ultrasound dataset.

Frontiers in physiology·2025
Same author

Various aspects of cryopreservation of small numbers of sperm in assisted reproductive technology.

Clinical and experimental reproductive medicine·2025
Same author

Impact of vaccination against SARS-CoV-2 on mortality risk, ICU admission rate, and hospitalization length in hospitalized COVID-19 patients: a cross-sectional study.

BMC infectious diseases·2025
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 Experiment Video

Updated: Jun 23, 2025

Author Spotlight: Advancing Therapeutic Strategies for Improving Pregnancy Rates by Analyzing Embryo-Endometrium Interactions
05:13

Author Spotlight: Advancing Therapeutic Strategies for Improving Pregnancy Rates by Analyzing Embryo-Endometrium Interactions

Published on: June 21, 2024

822

An artificial intelligence algorithm to select most viable embryos considering current process in IVF labs.

Mahdi-Reza Borna1, Mohammad Mehdi Sepehri1, Behnam Maleki2,3

  • 1Department of IT Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.

Frontiers in Artificial Intelligence
|June 17, 2024
PubMed
Summary

Artificial intelligence (AI) improves embryo selection in In-Vitro Fertilization (IVF) by analyzing multiple images objectively. This AI tool, DeepEmbryo, predicts pregnancy outcomes with higher accuracy than human experts, enhancing IVF success rates.

Keywords:
artificial intelligencedeep learningembryo selectionin-vitro fertilizationmedical images

More Related Videos

Human Blastocyst Biopsy and Vitrification
10:59

Human Blastocyst Biopsy and Vitrification

Published on: July 26, 2019

22.4K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.4K

Related Experiment Videos

Last Updated: Jun 23, 2025

Author Spotlight: Advancing Therapeutic Strategies for Improving Pregnancy Rates by Analyzing Embryo-Endometrium Interactions
05:13

Author Spotlight: Advancing Therapeutic Strategies for Improving Pregnancy Rates by Analyzing Embryo-Endometrium Interactions

Published on: June 21, 2024

822
Human Blastocyst Biopsy and Vitrification
10:59

Human Blastocyst Biopsy and Vitrification

Published on: July 26, 2019

22.4K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.4K

Area of Science:

  • Reproductive Medicine
  • Artificial Intelligence in Healthcare
  • Embryology

Background:

  • Morphological assessment of embryos during In-Vitro Fertilization (IVF) is subjective and limits success rates.
  • Current embryo selection methods rely on limited visual parameters, leading to suboptimal outcomes.
  • Artificial intelligence (AI) offers an objective approach to embryo selection, potentially improving IVF success.

Purpose of the Study:

  • To develop and evaluate an AI tool for predicting pregnancy outcomes using embryo images.
  • To assess the utility of multiple embryo images versus a single image for pregnancy prediction.
  • To compare the performance of AI-based embryo selection with that of experienced embryologists.

Main Methods:

  • Collected 252 time-lapse videos of IVF embryos from 2017-2020.
  • Extracted key frames at specific post-insemination hours (19, 43, 67).
  • Applied Convolutional Neural Network (CNN) architectures with transfer learning, comparing single-image and multi-image AI models against embryologist assessments.

Main Results:

  • AI models using three images (DeepEmbryo) demonstrated superior pregnancy prediction accuracy compared to single-image models.
  • DeepEmbryo outperformed five experienced embryologists in predicting pregnancy outcomes.
  • CNN architectures achieved up to 75.0% accuracy in predicting pregnancy chances via transfer learning.

Conclusions:

  • Developed DeepEmbryo, an AI tool utilizing three static embryo images for objective pregnancy prediction.
  • DeepEmbryo leverages readily available images from current IVF laboratory processes.
  • AI-based tools show significant potential to enhance pregnancy prediction and improve future IVF outcomes.