Skip to main content

Advertisement

Log in

The paper chase and the big data arms race

  • Commentary
  • Published:
Journal of Assisted Reproduction and Genetics Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Bormann CL, Kanakasabapathy MK, Thirumalaraju P, Gupta R, Pooniwala R, Kandula H, et al. Performance of a deep learning based neural network in the selection of human blastocysts for implantation. ELife. 2020;9:e55301. https://doi.org/10.7554/eLife.55301.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Kan-Tor Y, Zabari N, Erlich I, Szeskin A, Amitai T, Richter D, et al. Automated evaluation of human embryo blastulation and implantation potential using deep-learning. Adv Intell Syst. 2020;2(10):2000080.

    Article  Google Scholar 

  3. 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 Available from: http://www.ncbi.nlm.nih.gov/pubmed/32157183.

    Article  CAS  Google Scholar 

  4. VerMilyea M, Hall JMM, Diakiw SM, Johnston A, Nguyen T, Perugini D, et al. 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):770–84 Available from: https://academic.oup.com/humrep/article/35/4/770/5815143.

    Article  CAS  Google Scholar 

  5. 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;114:1026–31.

    Article  CAS  Google Scholar 

  6. Tran D, Cooke S, Illingworth PJ, Gardner DK. Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer. Hum Reprod [Internet]. 2019;34(6):1011–8 Available from: https://academic.oup.com/humrep/article/34/6/1011/5491340.

    Article  CAS  Google Scholar 

  7. Blank C, Wildeboer RR, DeCroo I, Tilleman K, Weyers B, de Sutter P, et al. Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective. Fertil Steril. 2019;111(2):318–26. https://doi.org/10.1016/j.fertnstert.2018.10.030.

    Article  PubMed  Google Scholar 

  8. Chen T-J, Zheng W, Liu C-H, Huang I, Lai H, Liu M. Using deep learning with large dataset of microscope images to develop an automated embryo grading system. Fertil Reprod [Internet]. 2019;01(01):51–6 Available from: https://www.worldscientific.com/doi/abs/10.1142/S2661318219500051.

    Article  Google Scholar 

  9. Miyagi Y, Habara T, Hirata R, Hayashi N. Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image. Reprod Med Biol. 2019;18(2):204–11 Available from: http://www.ncbi.nlm.nih.gov/pubmed/30996684.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carol Lynn Curchoe.

Ethics declarations

Conflict of interest

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

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Curchoe, C.L. The paper chase and the big data arms race. J Assist Reprod Genet 38, 1613–1615 (2021). https://doi.org/10.1007/s10815-021-02122-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10815-021-02122-3

Navigation