Cargando…
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study
BACKGROUND: One challenge in the field of in-vitro fertilisation is the selection of the most viable embryos for transfer. Morphological quality assessment and morphokinetic analysis both have the disadvantage of intra-observer and inter-observer variability. A third method, preimplantation genetic...
Autores principales: | Barnes, Josue, Brendel, Matthew, Gao, Vianne R, Rajendran, Suraj, Kim, Junbum, Li, Qianzi, Malmsten, Jonas E, Sierra, Jose T, Zisimopoulos, Pantelis, Sigaras, Alexandros, Khosravi, Pegah, Meseguer, Marcos, Zhan, Qiansheng, Rosenwaks, Zev, Elemento, Olivier, Zaninovic, Nikica, Hajirasouliha, Iman |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193126/ https://www.ncbi.nlm.nih.gov/pubmed/36543475 http://dx.doi.org/10.1016/S2589-7500(22)00213-8 |
Ejemplares similares
-
Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization
por: Khosravi, Pegah, et al.
Publicado: (2019) -
Blastocyst score, a blastocyst quality ranking tool, is a predictor of blastocyst ploidy and implantation potential
por: Zhan, Qiansheng, et al.
Publicado: (2020) -
Direct Unequal Cleavages: Embryo Developmental Competence, Genetic Constitution and Clinical Outcome
por: Zhan, Qiansheng, et al.
Publicado: (2016) -
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology–Radiology Fusion
por: Khosravi, Pegah, et al.
Publicado: (2021) -
Weakly-supervised tumor purity prediction from frozen H&E stained slides
por: Brendel, Matthew, et al.
Publicado: (2022)