Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics-Reference-Cited by-同舟云学术

Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics

Published:2022-06 Issue:2 Volume:3 Page:116-123
ISSN:2666-3341
Container-title:F&S Reports
language:en
Short-container-title:F&S Reports

Author:

Yang Liubin^ORCID,Peavey Mary,Kaskar Khalied^ORCID,Chappell Neil,Zhu Lynn,Devlin Darius,Valdes Cecilia,Schutt Amy,Woodard Terri,Zarutskie Paul,Cochran Richard,Gibbons William E.

Funder

National Institute of General Medical Sciences

Robert and Janice Mcnair Foundation

Publisher

Elsevier BV

Subject

Obstetrics and Gynecology,Reproductive Medicine,Embryology

Reference60 articles.

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3. Early embryo cleavage is a strong indicator of embryo quality in human IVF;Lundin;Hum Reprod,2001

4. Early cleavage of human embryos to the two-cell stage. A simple, effective indicator of implantation and pregnancy in intracytoplasmic sperm injection;Isiklar;J Reprod Med,2002

5. Multinucleation in normally fertilized embryos is associated with an accelerated ovulation induction response and lower implantation and pregnancy rates in vitro fertilization-embryo transfer cycles;Jackson;Fertil Steril,1998

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