Book contents
- 50 Big Debates in Reproductive Medicine
- Series page
- 50 Big Debates in Reproductive Medicine
- Copyright page
- Contents
- Contributors
- Foreword
- Introduction
- Section I Limits for IVF
- Section II IVF Add-ons
- Section III The Best Policy
- Section IV Embryology
- 24A ICSI Should Be Used for All IVF Cycles
- 24B ICSI Should Be Used for All IVF Cycles
- 25A Embryo Morphokinetic Analysis (Time-Lapse Imaging) Is Helpful in Selecting Euploid Blastocysts
- 25B Embryo Morphokinetic Analysis (Time-Lapse Imaging) Is Helpful in Selecting Euploid Blastocysts
- 26A Time-Lapse Imaging Should Be a Routine Procedure in Clinical Embryology
- 26B Time-Lapse Imaging Should Be a Routine Procedure in Clinical Embryology
- 27A Artificial Intelligence Is Useful for Embryo Selection in IVF
- 27B Artificial Intelligence Is Useful for Embryo Selection in IVF
- 28A There Is No Need to Take Embryos Out of the Incubator until the Day of Embryo Transfer
- 28B There Is No Need to Take Embryos Out of the Incubator until the Day of Embryo Transfer
- 29A Blastocyst Culture Should Be a Routine in All IVF Cycles
- 29B Blastocyst Culture Should Be a Routine in All IVF Cycles
- Section V Ethics and Statistics
- Section VI Male-factor Infertility
- Section VII Genetics
- Section VIII Ovarian Stimulation
- Section IX Hormones and the Environment
- Index
- References
27A - Artificial Intelligence Is Useful for Embryo Selection in IVF
For
from Section IV - Embryology
Published online by Cambridge University Press: 25 November 2021
By
Book contents
- 50 Big Debates in Reproductive Medicine
- Series page
- 50 Big Debates in Reproductive Medicine
- Copyright page
- Contents
- Contributors
- Foreword
- Introduction
- Section I Limits for IVF
- Section II IVF Add-ons
- Section III The Best Policy
- Section IV Embryology
- 24A ICSI Should Be Used for All IVF Cycles
- 24B ICSI Should Be Used for All IVF Cycles
- 25A Embryo Morphokinetic Analysis (Time-Lapse Imaging) Is Helpful in Selecting Euploid Blastocysts
- 25B Embryo Morphokinetic Analysis (Time-Lapse Imaging) Is Helpful in Selecting Euploid Blastocysts
- 26A Time-Lapse Imaging Should Be a Routine Procedure in Clinical Embryology
- 26B Time-Lapse Imaging Should Be a Routine Procedure in Clinical Embryology
- 27A Artificial Intelligence Is Useful for Embryo Selection in IVF
- 27B Artificial Intelligence Is Useful for Embryo Selection in IVF
- 28A There Is No Need to Take Embryos Out of the Incubator until the Day of Embryo Transfer
- 28B There Is No Need to Take Embryos Out of the Incubator until the Day of Embryo Transfer
- 29A Blastocyst Culture Should Be a Routine in All IVF Cycles
- 29B Blastocyst Culture Should Be a Routine in All IVF Cycles
- Section V Ethics and Statistics
- Section VI Male-factor Infertility
- Section VII Genetics
- Section VIII Ovarian Stimulation
- Section IX Hormones and the Environment
- Index
- References
Summary
There has been a recent explosion of interest in the potential use of artificial intelligence in reproductive medicine. However, the selection of embryos for transfer is still largely based on morphology alone which has been shown to poorly correlate with outcome. Time-lapse imaging of human preimplantation embryos in vitro with morphokinetic algorithms, as an advancement in IVF embryo selection, is hotly debated but promises to offer more reliable dynamic markers of embryo development and enable ranking according to their potential viability. Artificial Intelligence shows great promise to advance this further by removing subjectivity, and providing reproducibility, speed and incorporation of meta-data to provide more precision to this critical selection practice.
- Type
- Chapter
- Information
- 50 Big Debates in Reproductive Medicine , pp. 142 - 144Publisher: Cambridge University PressPrint publication year: 2021
References
Wang, R, Pan, W, Jin, L, et al. Artificial intelligence in reproductive medicine. Reproduction. 2019;158(4):R139–54.CrossRefGoogle ScholarPubMed
Khosravi, P, Kazemi, E, Zhan, Q, et al. Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization. NPJ Dig Med. 2019;2(21).Google ScholarPubMed
VerMilyea, M, Hall, JMM, Diakiw, SM, et al. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Hum Reprod. 2020;35(4):770–84.CrossRefGoogle ScholarPubMed
Chavez-Badiola, A, Flores-Saiffe-Farıas, A, Mendizabal-Ruiz, G, Drakeley, AJ, Cohen, J. Embryo Ranking Intelligent Classification Algorithm (ERICA), an artificial intelligence clinical assistant with embryo ploidy and implantation predicting capabilities. Reprod BioMed. Online 2020;41(4):585–93.CrossRefGoogle Scholar