Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Editorial
. 2021 Jul;38(7):1613-1615.
doi: 10.1007/s10815-021-02122-3. Epub 2021 Mar 13.

The paper chase and the big data arms race

Carol Lynn Curchoe  1
Affiliations
Editorial

The paper chase and the big data arms race

Carol Lynn Curchoe. J Assist Reprod Genet. 2021 Jul.
No abstract available

PubMed Disclaimer

Conflict of interest statement

Founder of ART Compass, a laboratory information management system that collects image and text data and uses artificial intelligence.

References

    1. Bormann CL, Kanakasabapathy MK, Thirumalaraju P, Gupta R, Pooniwala R, Kandula H, Hariton E, Souter I, Dimitriadis I, Ramirez LB, Curchoe CL, Swain JE, Boehnlein LM, Shafiee H. Performance of a deep learning based neural network in the selection of human blastocysts for implantation. ELife. 2020;9:e55301. doi: 10.7554/eLife.55301. - DOI - PMC - PubMed
    1. Kan-Tor Y, Zabari N, Erlich I, Szeskin A, Amitai T, Richter D, Or Y, Shoham Z, Hurwitz A, Har-Vardi I, Gavish M, Ben-Meir A, Buxboim A. Automated evaluation of human embryo blastulation and implantation potential using deep-learning. Adv Intell Syst. 2020;2(10):2000080. doi: 10.1002/aisy.202000080. - DOI
    1. Chavez-Badiola A, Flores-Saiffe Farias A, Mendizabal-Ruiz G, Garcia-Sanchez R, Drakeley AJ, Garcia-Sandoval JP. Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning. Sci Rep. 2020;10(1):4394. doi: 10.1038/s41598-020-61357-9. - DOI - PMC - PubMed
    1. VerMilyea M, Hall JMM, Diakiw SM, Johnston A, Nguyen T, Perugini D, Miller A, Picou A, Murphy AP, Perugini M. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Hum Reprod. 2020;35(4):770–784. doi: 10.1093/humrep/deaa013. - DOI - PMC - PubMed
    1. Letterie GS, Mac Donald AW. A computer decision support system for day to day management of ovarian stimulation during in vitro fertilization. Fertil Steril. 2020;114:1026–1031. doi: 10.1016/j.fertnstert.2020.06.006. - DOI - PubMed

Publication types

LinkOut - more resources