A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
Barnes J, Brendel M, Gao VR, Rajendran S, Kim J, Li Q, Malmsten JE, Sierra JT, Zisimopoulos P, Sigaras A, Khosravi P, Meseguer M, Zhan Q, Rosenwaks Z, Elemento O, Zaninovic N, Hajirasouliha I.
Barnes J, et al.
Lancet Digit Health. 2023 Jan;5(1):e28-e40. doi: 10.1016/S2589-7500(22)00213-8.
Lancet Digit Health. 2023.
PMID: 36543475
Free PMC article.
METHODS: In this retrospective study, we used machine-learning and deep-learning approaches to develop STORK-A, a non-invasive and automated method of embryo evaluation that uses artificial intelligence to predict embryo ploidy status. ...INTERPRETATION: As a …
METHODS: In this retrospective study, we used machine-learning and deep-learning approaches to develop STORK-A, a non-invasive …