Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation

202319 citationsJournal Articlehybrid Open Access

Authors

Aisling Ahlström · Center for Independent Living

Jørgen Berntsen

Martin Blok Johansen

Christina Bergh · Sahlgrenska University Hospital

Danilo Cimadomo · Clinica Valle Giulia

Thorir Hardarson · Vitrolife (Sweden)

Kersti Lundin · Sahlgrenska University Hospital

Abstract

The iDAScore v2.0 values correlated significantly with cell numbers and fragmentation scored manually for cleavage-stage embryos on days 2 and 3. iDAScore had some predictive value for live birth, conditional that embryo selection was based on morphology.

Topics & Keywords

Reproductive Biology and Fertility Assisted Reproductive Technology and Twin Pregnancy Ovarian function and disorders

Publication Details

Published in: Reproductive BioMedicine Online

Volume 47, Issue 6, pp. 103408-103408

DOI: 10.1016/j.rbmo.2023.103408

Field-Weighted Citation Impact: 5.51

Command Palette

Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation

Authors

Abstract

Topics & Keywords

Publication Details