Cargando…
The Application of Artificial Intelligence in Predicting Embryo Transfer Outcome of Recurrent Implantation Failure
Background: Recurrent implantation failure (RIF) refers to that infertile patients have undergone multiple in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) cycles and transferred multiple embryos without embryo implantation or clinical pregnancy. Due to the lack of clear evide...
Autores principales: | Shen, Lei, Zhang, Yanran, Chen, Wenfeng, Yin, Xinghui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280084/ https://www.ncbi.nlm.nih.gov/pubmed/35846016 http://dx.doi.org/10.3389/fphys.2022.885661 |
Ejemplares similares
-
Live-Birth Prediction of Natural-Cycle In Vitro Fertilization Using 57,558 Linked Cycle Records: A Machine Learning Perspective
por: Zhang, Yanran, et al.
Publicado: (2022) -
The Association Between Embryo Quality, Number of Transferred Embryos and Live Birth Rate After Vitrified Cleavage-Stage Embryos and Blastocyst Transfer
por: Zhu, Qianqian, et al.
Publicado: (2020) -
Artificial Intelligence May Predict Early Sepsis After Liver Transplantation
por: Kamaleswaran, Rishikesan, et al.
Publicado: (2021) -
Gender Bias in Artificial Intelligence: Severity Prediction at an Early Stage of COVID-19
por: Chung, Heewon, et al.
Publicado: (2021) -
Editorial: Artificial intelligence in human physiology
por: Ong, Chin Siang, et al.
Publicado: (2022)