Deep learning applications for human embryo assessment using time-lapse imaging: scoping review

Deep learning applications for human embryo assessment using time-lapse imaging: scoping review

BackgroundThe integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF).ObjectivesThis scoping review aims to explore the range of deep learning model applications in the evalu...

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Bibliographic Details
Main Authors: Rawan AlSaad, Leen Abusarhan, Nour Odeh, Alaa Abd-alrazaq, Fadi Choucair, Rachida Zegour, Arfan Ahmed, Sarah Aziz, Javaid Sheikh
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Reproductive Health
Subjects:
artificial intelligence
deep learning
embryo quality
embryo selection
in vitro fertilization
IVF
Online Access:https://www.frontiersin.org/articles/10.3389/frph.2025.1549642/full
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https://www.frontiersin.org/articles/10.3389/frph.2025.1549642/full

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