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

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Publication Details

Journal
Human Reproduction
Published
2025-08-04
DOI
https://doi.org/10.1093/humrep/deaf153
Citations
3
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
5.64
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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 et al.
3 citations
Human Reproduction
Reproductive Biology and Fertility
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.
Human ReproductionVol. 40(10)
University of Urbino (IT), University of Pavia (IT), Ottawa Fertility Centre (CA), CReATe Fertility Centre (CA), Clinica Valle Giulia (IT)
Good health and well-being
Openalex Percentile: Top 4%
Reproductive Biology and Fertility
5.64
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