Knowledge-embedded spatio-temporal analysis for euploidy embryos identification in couples with chromosomal rearrangements

• Published in: Chinese medical journal Vol. 137; no. 6; pp. 694 - 703
• Main Authors: Chen, Fangying, Xie, Xiang, Cai, Du, Yan, Pengxiang, Ding, Chenhui, Wen, Yangxing, Xu, Yanwen, Gao, Feng, Zhou, Canquan, Li, Guanbin, Mai, Qingyun
• Format: Journal Article
• Language: English
• Published: Hagerstown, MD Lippincott Williams & Wilkins 20.03.2024; Lippincott Williams & Wilkins Ovid Technologies; Wolters Kluwer
• Subjects: Algorithms; Aneuploidy; Artificial Intelligence; Biopsy; Chromosome Aberrations; Chromosomes; Couples; Deep learning; Embryos; Female; Genetic testing; Genetic Testing - methods; Humans; In vitro fertilization; Infant, Newborn; Infertility, Female; Medical technology; Miscarriage; Morphology; Original; Pregnancy; Preimplantation Diagnosis - methods; Retrospective Studies; Deep learning; Spatio-temporal analysis; Embryo; Euploidy status; Time-lapse imaging; Preimplantation genetic testing for chromosomal structural rearrangement

Abstract Background: The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to...