Real-time identification of fetal anomalies on ultrasound using artificial intelligence: what's next?

Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Published Date: Mar 1, 2022

Abstract

No abstract available for this article.

Authors

  • L Drukker
    Nuffield Department of Women's & Reproductive Health, University of Oxford, John Radcliffe Hospital, Oxford, UK.

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