Open AccessShould there be an “AI” in TEAM? Embryologists selection of high implantation potential embryos improves with the aid of an artificial intelligence algorithm
Author(s) -
Victoria W. Fitz,
Manoj Kumar Kanakasabapathy,
Prudhvi Thirumalaraju,
Hemanth Kandula,
Leslie B. Ramirez,
Lynn M. Boehnlein,
Jason E. Swain,
Carol Lynn Curchoe,
Kaitlyn James,
Irene Dimitriadis,
Irene Souter,
Charles L. Bormann,
Hadi Shafiee
Publication year - 2021
Publication title -
journal of assisted reproduction and genetics
Language(s) - English
Resource type - Journals
eISSN - 1573-7330
pISSN - 1058-0468
DOI - 10.1007/s10815-021-02318-7
Subject(s) - reproductive medicine , selection (genetic algorithm) , computer science , artificial intelligence , medicine , machine learning , biology , pregnancy , genetics
A deep learning artificial intelligence (AI) algorithm has been demonstrated to outperform embryologists in identifying euploid embryos destined to implant with an accuracy of 75.3% (1). Our aim was to evaluate the performance of highly trained embryologists in selecting top quality day 5 euploid blastocysts with and without the aid of a deep learning algorithm.