Artificial intelligence-based donor oocyte quality assessment moderately improves the prediction of blastocyst development: a first step towards higher personalization in the management of egg donation treatments
Artificial intelligence-based donor oocyte quality assessment moderately improves the prediction of blastocyst development: a first step towards higher personalization in the management of egg donation treatments
A Sanchez, Cristina Ortega‐Ferrusola, N Mercuri, Jullin Fjeldstad et al.
Citations
3 citations
Journal
Human Reproduction
Topics
Reproductive Biology and Fertility
Field-Weighted Citation Impact (FWCI)
5.64
article
Artificial intelligence-based donor oocyte quality assessment moderately improves the prediction of blastocyst development: a first step towards higher personalization in the management of egg donation treatments
A Sanchez, Cristina Ortega‐Ferrusola, N Mercuri, Jullin Fjeldstad, Danilo Cimadomo, Juliana Londero Silva Ávila, Laura Rienzi, Teresa Sánchez, María Hebles, Alex Krivoi, Vicente Badajoz, L Mifsud, Cristina Urda, Dan Nayot, C. Mariné
article en
3 citations
Abstract
No abstract available for this paper.
Publication Tag
Human ReproductionVol. 40(10)
Institutions
University of Urbino (IT), University of Pavia (IT), Ottawa Fertility Centre (CA), CReATe Fertility Centre (CA), Clinica Valle Giulia (IT)