An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.

Journal: Reproductive biomedicine online

PMID: 34865998

Abstract

RESEARCH QUESTION: Can workflow during IVF be facilitated by artificial intelligence to limit monitoring during ovarian stimulation to a single day and enable level-loading of retrievals?

Authors

Gerard Letterie

Seattle Reproductive Medicine, Seattle, Washington. Electronic address: Gerard.letterie@seattlefetility.com.
Andrew MacDonald

Quick Step Analytics LLC.
Zhan Shi

School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China.

Keywords

Artificial Intelligence Estradiol Female Fertilization in Vitro Humans Oocyte Retrieval Oocytes Ovulation Induction Pregnancy Pregnancy Rate Workflow

External Resources

View on PubMed Access via DOI PubMed (34865998)

An artificial intelligence platform to optimize workflow during ovarian stimulation and IVF: process improvement and outcome-based predictions.

Abstract

Authors

Keywords

External Resources

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