Implementing an artificial intelligence (AI)-enabled embryo analysis algorithm (AiVF Score) improves data-driven decision-making in the IVF clinic. (October 2022)

Record Type:: Journal Article
Title:: Implementing an artificial intelligence (AI)-enabled embryo analysis algorithm (AiVF Score) improves data-driven decision-making in the IVF clinic. (October 2022)
Main Title:: Implementing an artificial intelligence (AI)-enabled embryo analysis algorithm (AiVF Score) improves data-driven decision-making in the IVF clinic
Authors:: Gilboa, D.
Tauber, Y.
Shapiro, M.
Bromzon, Z.
Seidman, D.
Abstract:
Is Part Of:: Reproductive biomedicine online. Volume 45(2022)Supplement 1
Journal:: Reproductive biomedicine online
Issue:: Volume 45(2022)Supplement 1
Issue Display:: Volume 45, Issue 1 (2022)
Year:: 2022
Volume:: 45
Issue:: 1
Issue Sort Value:: 2022-0045-0001-0000
Page Start:: e32
Page End:: e33
Publication Date:: 2022-10
Subjects:: Human reproductive technology -- Periodicals
Human embryo -- Periodicals
Reproduction -- Periodicals
616.692
Journal URLs:: http://www.rbmonline.com/ ↗
http://www.sciencedirect.com/science/journal/14726483 ↗
http://www.elsevier.com/journals ↗
DOI:: 10.1016/j.rbmo.2022.08.055 ↗
Languages:: English
ISSNs:: 1472-6483
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 7713.705600
British Library DSC - BLDSS-3PM
British Library STI - Digital store
British Library STI - ELD Digital store
Ingest File:: 24083.xml