A novel system based on artificial intelligence for predicting blastocyst viability and visualizing the explanation

A novel system based on artificial intelligence for predicting blastocyst viability and visualizing the explanation

Abstract Purpose The purpose of the study was to invent and evaluate the novel artificial intelligence (AI) system named Fertility image Testing Through Embryo (FiTTE) for predicting blastocyst viability and visualizing the explanations via gradient‐based localization. Methods The authors retrospect...

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Bibliographic Details
Main Authors: Noritoshi Enatsu, Isao Miyatsuka, Le My An, Miki Inubushi, Kunihiro Enatsu, Junko Otsuki, Toshiroh Iwasaki, Shoji Kokeguchi, Masahide Shiotani
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Reproductive Medicine and Biology
Subjects:
artificial intelligence
assisted reproductive technology
gradient‐weighted class activation mapping
in vitro fertilization
Online Access:https://doi.org/10.1002/rmb2.12443

Internet

https://doi.org/10.1002/rmb2.12443

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