首页|Reports from National and Kapodistrian University of Athens Add New Data to Rese arch in Artificial Intelligence (Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful ...)
Reports from National and Kapodistrian University of Athens Add New Data to Rese arch in Artificial Intelligence (Assessment of artificial intelligence model and manual morphokinetic annotation system as embryo grading methods for successful ...)
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Springer Nature
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from National and Kapodis trian University of Athens by NewsRx correspondents, research stated, “The intro duction of the time-lapse monitoring system (TMS) and the development of predict ive algorithms could contribute to the optimal embryos selection for transfer. T herefore, the present study aims at investigating the efficiency of KIDScore and iDAScore systems for blastocyst stage embryos in predicting live birth events.”
National and Kapodistrian University of AthensArtificial IntelligenceEmerging TechnologiesMachine Learning
NETL
NSTL
Springer Nature
