Abstract
An evidence-based algorithm for the probability of predicting successful live birth has significant clinical utility in counseling infertility patients regarding embryo transfer outcomes. Towards this objective, we examined an artificial intelligence (AI), machine learning classification model using patient clinical measurements and IVF cycle characteristics to assess the prognostic value in estimating treatment outcomes including live birth.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.