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

Embryonic Stem Cells00:58

Embryonic Stem Cells

28.8K
Embryonic stem (ES) cells are undifferentiated pluripotent cells, meaning they can produce any cell type in the body. This gives them tremendous potential in science and medicine since they can generate specific cell types for use in research or to replace body cells lost due to damage or disease.
28.8K
CRISPR01:59

CRISPR

52.3K
Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
52.3K

You might also read

Related Articles

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

Sort by
Same author

Foundation for Artificial Intelligence-Driven Democratization of Healthcare Access.

Learning health systems·2026
Same author

Ambient Artificial Intelligence Scribes: A Reality Check-Insights From Two RCTs.

ANZ journal of surgery·2026
Same author

Comments on: Low adherence to aspirin and calcium carbonate for preeclampsia prevention in pregnant women with chronic hypertension in a Brazilian hospital.

Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia·2026
Same author

Assisted reproduction and perinatal emotional wellbeing: findings from a longitudinal study.

Psychological medicine·2026
Same author

First-trimester prediction and prevention of preterm pre-eclampsia in women with chronic hypertension.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2026
Same author

Balloon catheter plus concurrent vaginal misoprostol versus vaginal misoprostol alone for cervical ripening in induction of labor: A systematic review and an individual participant data meta-analysis of randomized controlled trials.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics·2026
Same journal

Correction to: Telehealth cognitive behavioural therapy improves health-related quality of life and pain in endometriosis: the Healing Pelvic Pain Intervention (HaPPI)-a randomized controlled trial.

Human reproduction open·2026
Same journal

A phenotypic <i>in vitro</i> assay of mouse oocyte maturation identifies reversible blockers of meiotic progression for non-hormonal contraceptive discovery.

Human reproduction open·2026
Same journal

Evidence of early subclinical atherosclerosis in women with exercise-induced hypothalamic amenorrhea.

Human reproduction open·2026
Same journal

Does endometrioma diameter impact serum anti-Müllerian hormone levels? A systematic review and meta-analysis.

Human reproduction open·2026
Same journal

Vitrification with shortened equilibration across human embryonic developmental stages: a proof-of-concept study.

Human reproduction open·2026
Same journal

The impact of vasectomy on the seminal microbiome: possible implications and source of microbes.

Human reproduction open·2026
See all related articles

Related Experiment Video

Updated: Jul 19, 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

893

Embryo selection through artificial intelligence versus embryologists: a systematic review.

M Salih1,2, C Austin1,2, R R Warty1

  • 1Department of Obstetrics and Gynaecology, Monash University, Clayton, Victoria, Australia.

Human Reproduction Open
|August 17, 2023
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) significantly outperforms embryologists in embryo selection accuracy for in vitro fertilization (IVF). AI models show higher reliability in predicting embryo morphology and clinical pregnancy outcomes, offering potential to improve IVF success rates.

Keywords:
ARTIVFartificial intelligenceembryoembryo selectionembryologymachine learning

More Related Videos

Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
12:32

Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis

Published on: September 7, 2021

2.2K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K

Related Experiment Videos

Last Updated: Jul 19, 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

893
Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis
12:32

Chromosome Screening of Human Preimplantation Embryos by Using Spent Culture Medium: Sample Collection and Chromosomal Ploidy Analysis

Published on: September 7, 2021

2.2K
Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy
00:09

Semiconductor Sequencing for Preimplantation Genetic Testing for Aneuploidy

Published on: August 25, 2019

9.5K

Area of Science:

  • Reproductive Medicine
  • Artificial Intelligence in Healthcare
  • Embryology

Background:

  • In vitro fertilization (IVF) success rates remain suboptimal, particularly with increasing female age.
  • Artificial intelligence (AI) offers potential to enhance objectivity in embryo selection, a process traditionally limited by human subjectivity.
  • Reviewing AI's performance against embryologists in embryo selection is crucial for improving IVF outcomes.

Purpose of the Study:

  • To compare the performance of artificial intelligence (AI) decision support systems with human embryologists in embryo selection.
  • To evaluate AI's accuracy in predicting embryo morphology and clinical outcomes in IVF treatments.

Main Methods:

  • A comprehensive literature search was conducted across major scientific databases (PubMed, EMBASE, Ovid Medline, IEEE Xplore) from 2005 to 2022.
  • Included studies focused on AI applications in IVF, assessing accuracy, sensitivity, and specificity of embryo assessment and clinical outcome prediction.
  • Risk of bias was evaluated using the Modified Down and Black Checklist.

Main Results:

  • AI models demonstrated higher accuracy than embryologists in predicting embryo morphology (median 75.5% vs. 65.4%) and clinical pregnancy (median 77.8% vs. 64%).
  • When combining image/time-lapse and clinical data, AI achieved a median accuracy of 81.5%, significantly outperforming embryologists (51%).
  • AI consistently showed greater reliability and accuracy in predicting both embryo quality and IVF success.

Conclusions:

  • AI shows significant promise for improving embryo selection in IVF, consistently outperforming clinical teams in assessed studies.
  • Further research is needed to prospectively evaluate AI in clinical settings and address model generalizability through external validation.
  • A shift in focus towards live birth as the primary clinical outcome and the use of diverse, validated databases are recommended for AI development in IVF.